Works (66)

Updated: November 18th, 2024 11:06

2024 journal article

Modeling longitudinal skewed functional data

BIOMETRICS, 80(4).

By: M. Alam* & A. Staicu n

author keywords: copula; diffusion tensor imaging; functional principal component analysis; longitudinal; multiple sclerosis, skewed functional data
Sources: Web Of Science, NC State University Libraries
Added: November 12, 2024

2024 article

PROFIT: projection-based test in longitudinal functional data

Koner, S., Park, S. Y., & Staicu, A.-M. (2024, January 3). JOURNAL OF NONPARAMETRIC STATISTICS, Vol. 1.

By: S. Koner*, S. Park* & A. Staicu n

author keywords: Longitudinal functional data analysis; uniform convergence; likelihood ratio test; fractional anisotropy; multiple sclerosis
TL;DR: This paper applies their method to the longitudinal diffusion tensor imaging study of multiple sclerosis patients to formally assess whether the brain's health tissue, as summarized by fractional anisotropy (FA) profile, degrades over time during the study period. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: January 16, 2024

2024 article

Quantile Regression for Longitudinal Functional Data with Application to Feed Intake of Lactating Sows

Battagliola, M. L., Sorensen, H., Tolver, A., & Staicu, A.-M. (2024, February 6). JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, Vol. 2.

By: M. Battagliola*, H. Sorensen*, A. Tolver* & A. Staicu n

author keywords: Bootstrap; Clustered data; Subject-specific effects
Sources: Web Of Science, NC State University Libraries
Added: February 19, 2024

2023 journal article

A Nonparametric Test of Group Distributional Differences for Hierarchically Clustered Functional Data

Biometrics, 79(4), 3778–3791.

By: A. Long n, B. Reich n, A. Staicu n & J. Meitzen n

author keywords: bivariate functional data; functional data analysis; hierarchically clustered data; multivariate testing
TL;DR: This paper proposes a method to test for differences in the electrophysiological properties across estrous cycle phase without first defining a metric of interest by modeling membrane potential data in the frequency domain as realizations of a bivariate process by adopting existing methods for longitudinal functional data. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Sources: Web Of Science, NC State University Libraries, Crossref
Added: March 27, 2023

2023 article

In Acute Severe Ulcerative Colitis Patients Who Receive Rescue Therapy, Prior Maintenance Therapy and Day 3 C-Reactive Protein After Rescue Therapy Are Associated With 12-Month Colectomy Risk

Sninsky, J. A., Staicu, A.-M., & Barnes, E. L. (2023, September 21). INFLAMMATORY BOWEL DISEASES, Vol. 9.

By: J. Sninsky*, A. Staicu n & E. Barnes*

author keywords: C-reactive protein; acute severe ulcerative colitis (ASUC); rescue therapy; colectomy
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: October 2, 2023

2023 journal article

Second-Generation Functional Data

ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, 10, 547–572.

By: S. Koner* & A. Staicu n

author keywords: functional principal component analysis; spatial functional data; longitudinal functional data; functional time series; multivariate functional data
Sources: Web Of Science, NC State University Libraries
Added: April 24, 2023

2022 journal article

Classification of social media users with generalized functional data analysis

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 179.

By: A. Weishampel*, A. Staicu n & W. Rand n

author keywords: Functional data; Classification; Binary series; Social media
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: November 5, 2022

2022 journal article

Inference in functional linear quantile regression

JOURNAL OF MULTIVARIATE ANALYSIS, 190.

By: M. Li*, K. Wang*, A. Maity n & A. Staicu n

author keywords: Composite quantile regression; Functional principal component analysis; Functional quantile regression; Measurement error; Wald test
Sources: Web Of Science, NC State University Libraries
Added: May 23, 2022

2021 journal article

A bias-adjusted estimator in quantile regression for clustered data

ECONOMETRICS AND STATISTICS, 23, 165–186.

By: M. Battagliola*, H. Sorensen*, A. Tolver* & A. Staicu n

author keywords: Linear quantile regression; Clustered data; Random effects; Bias-adjustment; Wild bootstrap; AIDS clinical trial group study
Sources: Web Of Science, NC State University Libraries
Added: June 6, 2022

2021 article

Bayesian variable selection for high-dimensional rank data

Cui, C., Singh, S. P., Staicu, A.-M., & Reich, B. J. (2021, May 24). ENVIRONMETRICS, Vol. 5.

By: C. Cui n, S. Singh n, A. Staicu n & B. Reich n

author keywords: Bayesian variable selection; high dimensional rank model; microbiome data
TL;DR: This paper analyzes a global dataset to investigate environmental factors that affect topsoil microbiome and proposes transforming to taxa ranks and developing a Bayesian variable selection model that uses ranks to identify covariates that influence microbiome composition. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: June 10, 2021

2021 journal article

Novel approach to modeling high-frequency activity data to assess therapeutic effects of analgesics in chronic pain conditions

SCIENTIFIC REPORTS, 11(1).

By: Z. Xu n, E. Laber n, A. Staicu n & B. Lascelles n

MeSH headings : Analgesics / therapeutic use; Animals; Cat Diseases / drug therapy; Cats; Chronic Pain / drug therapy; Chronic Pain / veterinary; Cross-Over Studies; Double-Blind Method; Markov Chains; Models, Theoretical; Placebos; Poisson Distribution
TL;DR: A zero inflated Poisson hidden semi-Markov model is used to characterize activity patterns and derive estimators of the treatment effect in terms of changes in activity levels or frequency of activity type using data from a naturally occurring feline OA-associated pain model. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: June 10, 2021

2021 article

Spatial Shrinkage Via the Product Independent Gaussian Process Prior

Roy, A., Reich, B. J., Guinness, J., Shinohara, R. T., & Staicu, A.-M. (2021, June 16). JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, Vol. 6.

By: A. Roy*, B. Reich n, J. Guinness*, R. Shinohara* & A. Staicu n

author keywords: Bayesian; High dimension; Image regression; Multiple sclerosis; Shrinkage; Spatial data analysis
TL;DR: An efficient computation algorithm based on spectral methods is developed to model continuous signals that are sparse and piecewise-smooth as the product of independent Gaussian processes with a smooth covariance kernel for sparse signal detection on a spatial domain. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: July 12, 2021

2020 chapter

Hierarchical continuous time hidden Markov model, with application in zero-inflated accelerometer data

In Y. Zhao & D. G. Chen (Eds.), Statistical Modeling for Biomedical Research: Contemporary Topics and Voices in the Field (pp. 125–142).

By: Z. Xu n, E. Laber n & A. Staicu n

Ed(s): Y. Zhao & D. Chen

TL;DR: A flexible and extensible continuous-time hidden Markov model is proposed to extract meaningful activity patterns from human accelerometer data and an efficient learning algorithm is derived that exploits the hierarchical structure of the parameters indexing the proposed model. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: September 27, 2020

2020 journal article

OPTIMAL EMG PLACEMENT FOR A ROBOTIC PROSTHESIS CONTROLLER WITH SEQUENTIAL, ADAPTIVE FUNCTIONAL ESTIMATION (SAFE)

ANNALS OF APPLIED STATISTICS, 14(3), 1164–1181.

By: J. Stallrich n, M. Islam, A. Staicu n, D. Crouch n, L. Pan* & H. Huang n

Contributors: J. Stallrich n, N. Islam, A. Staicu n, D. Crouch n, L. Pan* & H. Huang n

author keywords: Electromyography signal; varying functional regression; functional variable selection; adaptive group LASSO; correlated functional predictors; sequential adaptive functional estimation
TL;DR: A novel decoder based on a dynamic, functional linear model with velocity or acceleration as its response and the recent past EMG signals as functional covariates is proposed, increasing the predictive capability of a single EMG signal compared to existing decoders. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries, ORCID
Added: October 19, 2020

2019 journal article

A multivariate spatial skew-t process for joint modeling of extreme precipitation indexes

ENVIRONMETRICS, 31(3).

By: A. Hazra*, B. Reich n & A. Staicu n

author keywords: climate change; extremal dependence; extremal trend analysis; extreme precipitation indexes; multivariate spatial skew-t process; separable covariance
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: November 18, 2019

2019 journal article

A nonparametric spatial test to identify factors that shape a microbiome

The Annals of Applied Statistics, 13(4), 2341–2362.

By: S. Singh, A. Staicu*, R. Dunn*, N. Fierer & B. Reich

author keywords: Bayesian nonparametrics; Dirichlet process; high dimensional data; spatial modeling; spike-and-slab prior; variable selection
TL;DR: A flexible Bayesian spike-and-slab variable selection model for presence-absence indicators that accounts for spatial dependence and cross-dependence between taxa while reducing dimensionality in both directions is proposed. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: January 14, 2020

2019 journal article

Conditional Analysis for Mixed Covariates, with Application to Feed Intake of Lactating Sows

JOURNAL OF PROBABILITY AND STATISTICS, 2019.

By: S. Park*, C. Li n, S. Benavides n, E. Heugten n & A. Staicu n

Sources: Web Of Science, NC State University Libraries
Added: August 12, 2019

2019 journal article

Longitudinal dynamic functional regression

Journal of the Royal Statistical Society: Series C (Applied Statistics), 69(1), 25–46.

TL;DR: The paper develops a parsimonious modelling framework to study the time-varying association between scalar outcomes and functional predictors observed at many instances, in longitudinal studies, and inspired and applied to an animal science application. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, Crossref, ORCID
Added: September 30, 2019

2018 journal article

A comparison of testing methods in scalar-on-function regression

AStA Advances in Statistical Analysis, 103(3), 411–436.

By: M. Tekbudak n, M. Alfaro-Córdoba*, A. Maity n & A. Staicu n

Contributors: M. Tekbudak n, M. Alfaro-Córdoba*, A. Maity n & A. Staicu n

author keywords: Functional regression; Functional linear model; Nonparametric regression; Mixed-effects model; Hypothesis testing
TL;DR: This article provides an overview of the existing methods for testing both the null hypotheses that there are no relationship and that there is a linear relationship between the functional covariate and scalar response, and a comprehensive numerical comparison of their performance. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries, ORCID
Added: May 15, 2019

2018 journal article

A functional data analysis of spatiotemporal trends and variation in fine particulate matter

ATMOSPHERIC ENVIRONMENT, 184, 233–243.

By: M. King n, A. Staicu n, J. Davis n, B. Reich n & B. Eder*

author keywords: Particulate matter; Functional data; Air pollution; Kriging; Functional principal component analysis
TL;DR: The application of modern functional data analysis methods to study the spatiotemporal variability of particulate matter components across the United States and reveals new trends in the change of the pollutants across seasons and years that may not be as easily determined from other common approaches such as Kriging. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2018 journal article

A joint design for functional data with application to scheduling ultrasound scans

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 122, 101–114.

By: S. Park*, L. Xiao n, J. Willbur*, A. Staicu n & N. Jumbe*

author keywords: Covariance function; Functional data analysis; Fetal growth; Longitudinal data; Prediction
TL;DR: A joint design for sampling functional data is proposed to achieve optimal prediction of both functional data and a scalar outcome and is formulated using an optimization criterion and implemented in a pilot study. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2018 journal article

A smoothing-based goodness-of-fit test of covariance for functional data

BIOMETRICS, 75(2), 562–571.

By: S. Chen n, L. Xiao n & A. Staicu n

author keywords: functional data analysis; Functional principal components analysis; hypothesis testing; linear mixed effects models; longitudinal data analysis
MeSH headings : Analysis of Variance; Computer Simulation; Data Interpretation, Statistical; Humans; Longitudinal Studies; Models, Statistical
TL;DR: A goodness‐of‐fit test for comparing parametric covariance functions against general nonparametric alternatives for both irregularly observed longitudinal data and densely observed functional data is proposed. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: September 23, 2019

2018 journal article

Additive nonlinear functional concurrent model

Statistics and Its Interface, 11(4), 669–685.

By: J. Kim*, A. Maity n & A. Staicu n

Contributors: J. Kim*, A. Maity n & A. Staicu n

TL;DR: A flexible regression model is proposed to study the association between a functional response and multiple functional covariates that are observed on the same domain by relating the mean of the current response to current values of the covariates by a sum of smooth unknown bivariate functions. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries, ORCID
Added: September 5, 2019

2018 journal article

Reduced Target Facilitation and Increased Distractor Suppression During Mind Wandering

EXPERIMENTAL PSYCHOLOGY, 65(6), 345–352.

By: M. Geden n, A. Staicu n & J. Feng n

author keywords: mind wandering; target facilitation; distractor suppression; perceptual decoupling
MeSH headings : Adolescent; Adult; Attention / physiology; Female; Humans; Male; Perception / physiology; Young Adult
TL;DR: Findings suggest that rather than perceptual decoupling globally suppressing all stimuli, it is more selective, falling in line with evidence on strong top-down modulation. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: January 28, 2019

2017 journal article

A spatio-temporal model for longitudinal image-on-image regression

Statistics in Biosciences, 11(1), 22–46.

By: A. Hazra n, B. Reich n, D. Reich*, R. Shinohara* & A. Staicu n

author keywords: Spatio-temporal regression model; Longitudinal imaging study; Dynamic Bayesian updating; Multiple sclerosis; Magnetization transfer ratio; T1-weighted; T2-weighted fluid-attenuated inversion recovery; Composite likelihood
TL;DR: A spatio-temporal regression model for image response and image predictors that are acquired longitudinally and an approximate Bayesian inference technique is proposed to bypass the computational challenges associated with a Bayesian approach for high-dimensional imaging data. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: May 13, 2019

2017 journal article

Additive Function-on-Function Regression

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 27(1), 234–244.

By: J. Kim n, A. Staicu n, A. Maity n, R. Carroll* & D. Ruppert*

Contributors: J. Kim n, A. Staicu n, A. Maity n, R. Carroll* & D. Ruppert*

author keywords: Eigenbasis; Functional data analysis; Nonlinear models; Orthogonal projection; Penalized B-splines; Prediction
TL;DR: A computationally efficient estimation methodology based on a novel combination of spline bases with an eigenbasis to represent the trivariate kernel function is developed to study additive function-on-function regression. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2017 journal article

Fully Bayesian spectral methods for imaging data

BIOMETRICS, 74(2), 645–652.

By: B. Reich n, J. Guinness n, S. Vandekar*, R. Shinohara* & A. Staicu n

author keywords: Functional connectivity; Markov chain Monte Carlo; Matern correlation; Shrinkage priors; Spherical harmonics
MeSH headings : Alzheimer Disease / diagnostic imaging; Bayes Theorem; Case-Control Studies; Cerebral Cortex / diagnostic imaging; Cerebral Cortex / pathology; Computer Simulation; Data Interpretation, Statistical; Datasets as Topic; Diagnostic Imaging / methods; Humans; Markov Chains; Monte Carlo Method; Spectrum Analysis
TL;DR: This work proposes a method that accounts for nonstationarity, functional connectivity of distant regions of interest, and local signals, and can be applied to large multi‐subject datasets using spectral methods combined with Markov Chain Monte Carlo sampling, and applies the new approach to study associations between cortical thickness and Alzheimer's disease. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: October 16, 2018

2017 journal article

Functional Feature Construction for Individualized Treatment Regimes

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 113(523), 1219–1227.

By: E. Laber n & A. Staicu n

author keywords: Functional data; Personalized medicine; Regression; Treatment regimes
TL;DR: This work proposes a data-driven method for constructing maximally prescriptive yet interpretable features that can be used with standard methods for estimating optimal treatment regimes, and treats the subject longitudinal information as a realization of a stochastic process observed with error at discrete time points. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: October 29, 2018

2017 journal article

Interview with Nancy Reid

International Statistical Review, 85(3), 381–403.

By: A. Staicu & N. Reid

Source: NC State University Libraries
Added: August 6, 2018

2017 journal article

Scalar-on-image regression via the soft-thresholded Gaussian process

BIOMETRIKA, 105(1), 165–184.

By: J. Kang*, B. Reich n & A. Staicu n

author keywords: Electroencephalography; Gaussian process; Posterior consistency; Spatial variable selection
TL;DR: A new class of Bayesian nonparametric models are proposed and an efficient posterior computational algorithm is developed that provides large prior support over the class of piecewise‐smooth, sparse, and continuous spatially varying regression coefficient functions. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2017 journal article

Simple fixed-effects inference for complex functional models

Biostatistics, 19(2), 137–152.

By: S. Park n, A. Staicu n, L. Xiao n & C. Crainiceanu*

author keywords: Bootstrap/resampling; Functional data; Measurement error; Smoothing and nonparametric regression
MeSH headings : Accelerometry / statistics & numerical data; Aged; Aged, 80 and over; Aging / physiology; Baltimore; Data Interpretation, Statistical; Exercise / physiology; Female; Humans; Longitudinal Studies; Middle Aged; Models, Statistical
TL;DR: Simple inferential approaches for the fixed effects in complex functional mixed effects models are proposed and motivated by and applied to the Baltimore Longitudinal Study of Aging, though they are applicable to other studies that collect correlated functional data. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, Crossref, ORCID
Added: August 6, 2018

2017 journal article

The Use of Functional Data Analysis to Evaluate Activity in a Spontaneous Model of Degenerative Joint Disease Associated Pain in Cats

PLOS ONE, 12(1), e0169576.

By: M. Gruen n, M. Alfaro-Córdoba n, A. Thomson n, A. Worth n, A. Staicu n & B. Lascelles n

Contributors: M. Gruen n, M. Alfaro-Córdoba n, A. Thomson n, A. Worth n, A. Staicu n & B. Lascelles n

Ed(s): J. Harezlak

MeSH headings : Accelerometry; Animals; Cat Diseases / physiopathology; Cats; Female; Male; Motor Activity / physiology; Osteoarthritis / physiopathology; Osteoarthritis / veterinary
TL;DR: Functional data analysis provides insight into the pattern of activity in cats, and an alternative method for analyzing accelerometry data that incorporates fluctuations in activity across the day. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries, Web Of Science, ORCID
Added: August 6, 2018

2017 journal article

The impacts of perceptual load and driving duration on mind wandering in driving

Transportation Research Part F: Traffic Psychology and Behaviour, 57, 75–83.

By: M. Geden n, A. Staicu n & J. Feng n

author keywords: Mind wandering; Driving; Distraction; Generalized additive modeling; Mixed effects modeling; Perceptual load; Driving duration
Sources: Crossref, NC State University Libraries
Added: January 13, 2020

2016 journal article

A LAG FUNCTIONAL LINEAR MODEL FOR PREDICTION OF MAGNETIZATION TRANSFER RATIO IN MULTIPLE SCLEROSIS LESIONS

Annals of Applied Statistics, 10(4), 2325–2348.

author keywords: Functional data analysis; functional linear model; magnetization transfer ratio; image analysis
TL;DR: The model facilitates the use of commonly acquired imaging modalities to estimate MTR within lesions, and outperforms cross-sectional models that do not account for temporal patterns of lesion development and repair. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2016 journal article

A data-driven weighting scheme for multivariate phenotypic endpoints recapitulates zebrafish developmental cascades

TOXICOLOGY AND APPLIED PHARMACOLOGY, 314, 109–117.

author keywords: Zebrafish; High-dimensional; Bayesian; Developmental cascade; ToxRefDB; Risk assessment; Multiple endpoints; Multivariate; Scoring
MeSH headings : Animals; Models, Theoretical; Multivariate Analysis; Phenotype; Zebrafish / embryology
TL;DR: The results suggest that developmental cascade effects triggered by chemical exposure can be recapitulated by analyzing the relationships among endpoints, and wAggE offers a powerful approach for analysis of multivariate phenotypes that can reveal underlying etiological processes. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2016 journal article

A note on modeling sparse exponential-family functional response curves

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 105, 46–52.

By: J. Gertheiss*, J. Goldsmith* & A. Staicu n

author keywords: Binomial data; Functional principal components; Longitudinal data; Mixed models; Smoothing; Sparse sampling design
TL;DR: Non-Gaussian functional data are considered and modeling through functional principal components analysis (FPCA) is discussed, and methods to address this shortcoming by using either a two-stage or joint estimation strategy are proposed. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2016 journal article

A two-sample distribution-free test for functional data with application to a diffusion tensor imaging study of multiple sclerosis

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 65(3), 395–414.

By: G. Pomann*, A. Staicu n & S. Ghosh n

author keywords: Diffusion tensor imaging; Functional principal component analysis; Hypothesis testing; Multiple sclerosis
TL;DR: A non‐parametric testing procedure for testing the null hypothesis that two samples of curves observed at discrete grids and with noise have the same underlying distribution is developed, which reduces the dimension of the testing problem in a way that enables the use of traditional non-parametric univariate testing procedures. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2016 journal article

Classical testing in functional linear models

JOURNAL OF NONPARAMETRIC STATISTICS, 28(4), 813–838.

By: D. Kong*, A. Staicu n & A. Maity n

Contributors: D. Kong*, A. Staicu n & A. Maity n

author keywords: Asymptotic distribution; functional principal component analysis; functional linear model; hypothesis testing
TL;DR: This work extends four tests common in classical regression – Wald, score, likelihood ratio and F tests – to functional linear regression, for testing the null hypothesis, that there is no association between a scalar response and a functional covariate. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2016 journal article

Interactive graphics for functional data analyses

STAT, 5(1), 108–118.

By: J. Wrobel*, S. Park n, A. Staicu n & J. Goldsmith*

author keywords: function-on-scalar regression; functional principal component analysis; longitudinal functional data; multilevel functional data
TL;DR: The refund.shiny package was developed to address issues for several of the most common functional data analyses by generating an interactive visualization environment that contains several distinct graphics, many of which are updated in response to user input. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2016 journal article

Testing for additivity in non-parametric regression

CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 44(4), 445–462.

By: Y. Zhang n, A. Staicu n & A. Maity n

Contributors: Y. Zhang n, A. Staicu n & A. Maity n

author keywords: Generalized F test; linear mixed models; non-parametric regression; restricted likelihood ratio test; testing for additivity; testing for variance components
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2015 journal article

Glacier Terminus Estimation from Landsat Image Intensity Profiles

Journal of Agricultural, Biological, and Environmental Statistics, 20(2), 279–298.

By: J. Usset*, A. Maity n, A. Staicu n & A. Schwartzman n

Contributors: J. Usset*, A. Maity n, A. Staicu n & A. Schwartzman n

author keywords: Change-point estimation; Cross-validation; Nonparametric regression; Satellite imagery; Spline smoothing
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Crossref, NC State University Libraries, ORCID
Added: September 4, 2019

2015 journal article

Interaction models for functional regression

Computational Statistics & Data Analysis, 94, 317–329.

By: J. Usset*, A. Staicu n & A. Maity n

Contributors: J. Usset*, A. Staicu n & A. Maity n

author keywords: Functional regression; Hypothesis testing; Interaction; Spline smoothing
TL;DR: A functional regression model with a scalar response and multiple functional predictors is proposed that accommodates two-way interactions in addition to their main effects, and a hypothesis testing procedure for the functional interaction effect is described. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries, ORCID
Added: September 4, 2019

2015 journal article

Longitudinal functional data analysis

Stat, 4(1), 212–226.

By: S. Park n & A. Staicu n

author keywords: dependent functional data; diffusion tensor imaging; functional principal component analysis; longitudinal design; multiple sclerosis
TL;DR: A novel parsimonious modeling framework for repeatedly observed functional observations that allows to extract low dimensional features that is motivated by and applied to a diffusion tensor imaging study of multiple sclerosis. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: January 13, 2020

2015 journal article

Marginal Functional Regression Models for Analyzing the Feeding Behavior of Pigs

JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 20(3), 353–370.

By: J. Gertheiss*, V. Maier*, E. Hessel* & A. Staicu n

author keywords: Animal husbandry; Binary functional data; Generalized additive models; Penalized splines; Pig fattening
TL;DR: A group of pigs is observed over a period of about 100 days using high frequency radio frequency identification, leading to very dense binary functional data for each pig and day, allowing for pig-specific feeding profiles showing the typical feeding pattern of each pig. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 journal article

Scan-stratified case-control sampling for modeling blood-brain barrier integrity in multiple sclerosis

STATISTICS IN MEDICINE, 34(20), 2872–2880.

author keywords: case-control sampling; logistic regression; magnetic resonance imaging; multiple sclerosis
MeSH headings : Blood-Brain Barrier / physiology; Brain / pathology; Case-Control Studies; Contrast Media; Humans; Imaging, Three-Dimensional; Logistic Models; Magnetic Resonance Imaging; Multiple Sclerosis / diagnosis; Multiple Sclerosis / pathology; Multiple Sclerosis / physiopathology
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2014 journal article

Analysis of AneuRisk65 data: Classification and curve registration

ELECTRONIC JOURNAL OF STATISTICS, 8, 1914–1919.

By: A. Staicu n & X. Lu*

author keywords: AneuRisk65 data; principal component analysis; curve registration; classification; functional data analysis
TL;DR: The relationship between the geometry of the Inner Carotid Artery, as described by its centerline curvature and its radius, and the location of the aneurysm for the AneuRisk65 data is concerned. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2014 journal article

Functional additive mixed models

Journal of Computational and Graphical Statistics, 24(2), 477–501.

By: F. Scheipl*, A. Staicu n & S. Greven*

TL;DR: An extensive framework for additive regression models for correlated functional responses, allowing for multiple partially nested or crossed functional random effects with flexible correlation structures for, for example, spatial, temporal, or longitudinal functional data is proposed. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries, ORCID
Added: August 6, 2018

2014 journal article

Global Analysis of Methylation Profiles From High Resolution CpG Data

GENETIC EPIDEMIOLOGY, 39(2), 53–64.

Contributors: N. Zhao*, D. Bell*, A. Maity n, A. Staicu n, B. Joubert*, S. London*, M. Wu*

author keywords: density approximation; epigenome wide association study; global testing; spline smoothing; variance component testing
MeSH headings : Alcoholism / genetics; Arthritis, Rheumatoid / genetics; Case-Control Studies; CpG Islands / genetics; DNA Methylation; Epigenesis, Genetic / genetics; Epigenomics; Genome / genetics; Hepatitis C / genetics; Humans; Internet; Long Interspersed Nucleotide Elements / genetics; Models, Genetic; Software
TL;DR: A new strategy for global analysis of methylation profiles using a functional regression approach wherein either the density or the cumulative distribution function of the methylation values for each individual using B‐spline basis functions is approximate. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2014 journal article

Incorporating covariates in skewed functional data models

Biostatistics (Oxford, England), 16(3), 413–426.

By: M. Li n, A. Staicu n & H. Bondell n

MeSH headings : Biostatistics; Case-Control Studies; Computer Simulation; Diffusion Tensor Imaging / statistics & numerical data; Humans; Models, Statistical; Multiple Sclerosis / diagnosis; Multivariate Analysis; Normal Distribution; Principal Component Analysis; Software
TL;DR: The proposed cSFM framework provides a unifying platform for pointwise quantile estimation and trajectory prediction and considers a computationally feasible procedure that handles densely as well as sparsely observed functional data. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2014 journal article

Likelihood Ratio Tests for Dependent Data with Applications to Longitudinal and Functional Data Analysis

SCANDINAVIAN JOURNAL OF STATISTICS, 41(4), 932–949.

author keywords: functional data; longitudinal data; pseudo-likelihood; sleep health heart study; two-sample problem
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2014 journal article

Penalized function-on-function regression

COMPUTATIONAL STATISTICS, 30(2), 539–568.

By: A. Ivanescu*, A. Staicu n, F. Scheipl* & S. Greven*

author keywords: Functional data analysis; Functional regression model; Mixed model; Multiple functional predictors; Penalized splines; Tractography data
TL;DR: A general framework for smooth regression of a functional response on one or multiple functional predictors is proposed using the mixed model representation of penalized regression, which allows for seamless integration of continuous or categorical covariates and provides approximate confidence intervals as a by-product of the Mixed model inference. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2014 journal article

Significance tests for functional data with complex dependence structure

JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 156, 1–13.

By: A. Staicu n, S. Lahiri n & R. Carroll*

author keywords: Block bootstrap; Functional data; Group mean testing; Hierarchical modeling; Significance tests; Spatially correlated curves
TL;DR: This is the first work that studies hypothesis testing, when data have such complex multilevel functional and spatial structure, and two small-sample alternatives, including a novel block bootstrap for functional data, are proposed. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 journal article

Multilevel Cross-Dependent Binary Longitudinal Data

BIOMETRICS, 69(4), 903–913.

By: N. Serban*, A. Staicu n & R. Carroll*

author keywords: Binary longitudinal data; Covariogram estimation; Cross-dependent functional data; Functional data analysis; Hierarchical modeling; Mixed models; Multilevel functional data; Principal component estimation
MeSH headings : Computer Simulation; Data Interpretation, Statistical; Logistic Models; Longitudinal Studies; Models, Statistical
TL;DR: The primary objectives of this article are to highlight the challenges in the estimation of the model components, to compare two approximations to the logistic regression function, linear and exponential, and to discuss their advantages and limitations. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 journal article

Variable selection in generalized functional linear models

Stat, 2(1), 86–101.

By: J. Gertheiss*, A. Maity n & A. Staicu n

Contributors: J. Gertheiss*, A. Maity n & A. Staicu n

TL;DR: This paper proposes a variable selection technique, based on adopting a generalized functional linear model framework and using a penalized likelihood method that simultaneously controls the sparsity of the model and the smoothness of the corresponding coefficient functions by adequate penalization. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Crossref, NC State University Libraries, ORCID
Added: September 4, 2019

2012 journal article

Bootstrap-based inference on the difference in the means of two correlated functional processes

STATISTICS IN MEDICINE, 31(26), 3223–3240.

By: C. Crainiceanu*, A. Staicu n, S. Ray* & N. Punjabi*

author keywords: EEG; sleep; penalized splines; measurement error; spectrogram
MeSH headings : Biostatistics / methods; Cohort Studies; Confidence Intervals; Humans; Models, Statistical; Sleep Apnea Syndromes / diagnosis; Sleep Apnea Syndromes / etiology; Statistics, Nonparametric
TL;DR: This work proposes nonparametric inference methods for estimating the mean difference between average normalized δ power of sleep electroencephalograms for 51 subjects with severe sleep apnea and 51 matched controls in the first 4 ;h after sleep onset. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2012 journal article

Clustering Random Curves Under Spatial Interdependence With Application to Service Accessibility

Technometrics, 54(2), 108–119.

By: H. Jiang* & N. Serban*

author keywords: Functional data analysis; Markov random field; Model-based clustering; Semiparametric modeling; Service accessibility; Spatial dependence
TL;DR: A model-based method for clustering random time-varying functions that are spatially interdependent is introduced and borrowed information across functions corresponding to nearby spatial locations resulting in enhanced estimation accuracy of the cluster effects and of the Cluster membership as shown in a simulation study. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: January 14, 2020

2012 article

Comment

Crainiceanu, C. M., & Staicu, A.-M. (2012, May). TECHNOMETRICS, Vol. 54, pp. 120–122.

By: C. Crainiceanu* & A. Staicu n

UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2012 journal article

Functional Generalized Additive Models

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 23(1), 249–269.

author keywords: Diffusion tensor imaging; Functional data analysis; Functional regression; P-spline
TL;DR: The functional generalized additive model (FGAM), a novel regression model for association studies between a scalar response and a functional predictor, is introduced and can be viewed as the natural functional extension of generalized additive models. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2011 journal article

Modeling Functional Data with Spatially Heterogeneous Shape Characteristics

Biometrics, 68(2), 331–343.

author keywords: Gaussian and t-copulas; Quantile modeling; Skewed functional data; Tractography data
MeSH headings : Algorithms; Biometry / methods; Brain / pathology; Computer Simulation; Data Interpretation, Statistical; Diffusion Tensor Imaging / statistics & numerical data; Humans; Likelihood Functions; Models, Statistical; Multiple Sclerosis / pathology; Multivariate Analysis; Normal Distribution; Regression Analysis
TL;DR: A novel class of models for functional data exhibiting skewness or other shape characteristics that vary with spatial or temporal location is proposed, and a computationally tractable inferential framework for estimating heterogeneous asymmetric or heavy‐tailed marginal distributions is introduced. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: January 14, 2020

2010 journal article

Fast methods for spatially correlated multilevel functional data

BIOSTATISTICS, 11(2), 177–194.

By: A. Staicu n, C. Crainiceanu* & R. Carroll*

author keywords: Colon carcinogenesis; Covariogram estimation; Functional data analysis; Hierarchical modeling; Mixed models; Spatial modeling
MeSH headings : Algorithms; Analysis of Variance; Animals; Biometry / methods; Butyrates / adverse effects; Colonic Neoplasms / chemically induced; Colonic Neoplasms / etiology; Colonic Neoplasms / metabolism; Computer Simulation; Cyclin-Dependent Kinase Inhibitor p27 / metabolism; Diet / adverse effects; Humans; Likelihood Functions; Models, Statistical; Principal Component Analysis; Software; Statistics, Nonparametric
TL;DR: This work proposes a new methodological framework for the analysis of hierarchical functional data when the functions at the lowest level of the hierarchy are correlated, which leads to a computational algorithm that is orders of magnitude more efficient than its closest competitor. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2010 journal article

On the equivalence of prospective and retrospective likelihood methods in case-control studies

BIOMETRIKA, 97(4), 990–996.

By: A. Staicu n

author keywords: Approximate conditional inference; Case-control study; Equivalent Bayesian analysis; Modified profile likelihood; Prospective likelihood; Retrospective likelihood
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2010 journal article

Second order ancillary: A differential view from continuity

BERNOULLI, 16(4), 1208–1223.

By: A. Fraser*, D. Fraser* & A. Staicu n

author keywords: approximate ancillary; approximate location model; conditioning; confidence; p-value; quantile
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2009 journal article

Generalized Multilevel Functional Regression

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 104(488), 1550–1561.

By: C. Crainiceanu n, A. Staicu n & C. Di n

author keywords: Functional principal components; Sleep EEG; Smoothing
TL;DR: It is shown that GMFLMs are, in fact, generalized multilevel mixed models, which can be analyzed using the mixed effects inferential machinery and can be generalized within a well-researched statistical framework. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2009 journal article

Higher-order approximations for interval estimation in binomial settings

Journal of Statistical Planning and Inference, 139(10), 3393–3404.

By: A. Staicu*

author keywords: Binomial distribution; Confidence intervals; Edgeworth expansion; First-order matching intervals; Modified likelihood root
Sources: Crossref, NC State University Libraries
Added: January 14, 2020

2009 journal article

The second order ancillary is rotation based

Journal of Statistical Planning and Inference, 140(3), 831–836.

By: A. Staicu n & D. Fraser*

author keywords: Conditional likelihood; Second order ancillary; Pivotal quantity; Sensitivity directions; Third order inference
TL;DR: The present work discuses the second order ancillary that has the observed contour tangent to the directions v corresponding to a pivot and derived by keeping the pivotal variable fixed at the observed fitted value. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Crossref, NC State University Libraries
Added: March 13, 2020

2008 journal article

On probability matching priors

Canadian Journal of Statistics, 36(4), 613–622.

By: A. Staicu* & N. Reid*

author keywords: Approximate Bayesian inference; Laplace approximation; orthogonal parameters; probability matching prior; tail probability approximation
Sources: Crossref, NC State University Libraries
Added: January 14, 2020

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