Works (58)

Updated: June 4th, 2024 05:00

2024 article

The R2D2 Prior for Generalized Linear Mixed Models

Yanchenko, E., Bondell, H. D., & Reich, B. J. (2024, May 23). AMERICAN STATISTICIAN, Vol. 5.

By: E. Yanchenko*, H. Bondell* & B. Reich n

author keywords: Bayesian modeling; Coefficient of determination; Generalized beta prime distribution; Goodness-of-fit
Sources: Web Of Science, NC State University Libraries
Added: June 3, 2024

2023 article

Spatial regression modeling via the R2D2 framework

Yanchenko, E., Bondell, H. D., & Reich, B. J. (2023, October 27). ENVIRONMETRICS, Vol. 10.

By: E. Yanchenko n, H. Bondell* & B. Reich n

author keywords: Bayesian inference; coefficient-of-determination; Gaussian process; generalized beta prime distribution; penalized regression
TL;DR: The effect of marine policies on biodiversity is estimated and it is concluded that no‐take restrictions lead to a slight increase in biodiversity and that the majority of the variance in the linear predictor comes from the spatial effect. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
14. Life Below Water (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: November 6, 2023

2021 journal article

Deep distribution regression

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 159.

By: R. Li n, B. Reich n & H. Bondell*

author keywords: Conditional distribution; Deep learning; Machine learning; Probabilistic forecasting
TL;DR: This article proposes a novel joint binary cross-entropy loss function to accomplish a conditional distribution estimation problem into a constrained multi-class classification problem, in which tools such as deep neural networks are used. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: May 10, 2021

2021 article

Nonparametric conditional density estimation in a deep learning framework for short-term forecasting

Huberman, D. B., Reich, B. J., & Bondell, H. D. (2021, May 20). ENVIRONMENTAL AND ECOLOGICAL STATISTICS, Vol. 5.

By: D. Huberman n, B. Reich n & H. Bondell*

author keywords: Case– control sampling; Conditional distribution estimation; Deep learning; Environmental statistics; Machine learning; Nonparametric statistics
TL;DR: A technique that simultaneously estimates the entire conditional distribution and flexibly allows for machine learning techniques to be incorporated is proposed, and further computational developments can fully unlock its insights in more complex forecasting and other applications. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: June 10, 2021

2020 journal article

BAYESIAN INFERENCE IN HIGH-DIMENSIONAL LINEAR MODELS USING AN EMPIRICAL CORRELATION-ADAPTIVE PRIOR

STATISTICA SINICA, 31(4), 2051–2072.

By: C. Liu n, Y. Yang n, H. Bondell* & R. Martin n

author keywords: Collinearity; empirical Bayes; posterior convergence rate; stochastic search; variable selection
TL;DR: An empirical correlation-adaptive prior that makes use of information in the observed predictor variable matrix to adaptively address high collinearity, determining if parameters associated with correlated predictors should be shrunk together or kept apart is proposed. (via Semantic Scholar)
Source: Web Of Science
Added: March 7, 2022

2020 journal article

Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 117(538), 862–874.

By: Y. Zhang*, B. Naughton n, H. Bondell* & B. Reich n

author keywords: Beta-prime distribution; Coefficient of determination; Global-local shrinkage; High-dimensional regression
Sources: Web Of Science, NC State University Libraries
Added: November 30, 2020

2019 journal article

Bayesian variable selection for logistic regression

STATISTICAL ANALYSIS AND DATA MINING, 12(5), 378–393.

By: Y. Tian n, H. Bondell n & A. Wilson n

author keywords: joint credible region; Laplace prior; LASSO; Normal-gamma prior
TL;DR: The use of the Normal‐Gamma prior with recommendations on calibration of the hyper‐parameters is proposed and shown to outperform other methods in high‐dimensional settings, especially with highly correlated data. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: October 14, 2019

2019 journal article

Binormal Precision-Recall Curves for Optimal Classification of Imbalanced Data

STATISTICS IN BIOSCIENCES, 11(1), 141–161.

By: Z. Liu n & H. Bondell*

author keywords: Binary classification; Binormal assumption; Imbalanced data; Precision-Recall curve; ROC curve
TL;DR: Simulations, as well as real data results, indicate that the binormal Precision–Recall method outperforms approaches based on the area under the ROC curve. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: May 13, 2019

2019 journal article

Solution paths for the generalized lasso with applications to spatially varying coefficients regression

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 142.

By: Y. Zhao n & H. Bondell*

author keywords: Generalized lasso; Penalized regression; Regularization; Solution path algorithm
TL;DR: The proposed algorithm solves the generalized lasso problem and provides the full solution path and a confidence set can be constructed on the generalizedLasso parameters based on the modified residual bootstrap lasso. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: November 18, 2019

2018 journal article

Developing a model of climate change behavior among adolescents

CLIMATIC CHANGE, 151(3-4), 589–603.

By: K. Stevenson n, M. Peterson n & H. Bondell n

Contributors: K. Stevenson n, M. Nils Peterson n & H. Bondell n

UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: December 31, 2018

2018 journal article

Market and Nonmarket Valuation of North Carolina's Tundra Swans among Hunters, Wildlife Watchers, and the Public

WILDLIFE SOCIETY BULLETIN, 42(3), 478–487.

By: K. Frew n, M. Peterson n, E. Sills n, C. Moorman n, H. Bondell n, J. Fuller*, D. Howell*

author keywords: birding; contingent valuation; Cygnus columbianus; economics; markets; nonmarket valuation; tourism; tundra swans; wildlife tourism
Sources: Web Of Science, NC State University Libraries
Added: October 16, 2018

2017 journal article

A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints

STATISTICAL ANALYSIS AND DATA MINING, 10(6), 393–409.

By: Q. Li*, M. Guindani*, B. Reich n, H. Bondell n & M. Vannucci*

author keywords: Bayesian nonparametrics; count data; feature selection; Poisson mixture; text analysis
TL;DR: This paper proposes a zero‐inflated Poisson mixture modeling framework that incorporates a model‐based normalization through prior distributions with mean constraints, as well as a feature selection mechanism, which allows it to identify a parsimonious set of discriminatory features, and simultaneously cluster the samples into homogenous groups. (via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2017 journal article

Best linear estimation via minimization of relative mean squared error

STATISTICS AND COMPUTING, 29(1), 33–42.

By: L. Su n & H. Bondell n

author keywords: Biased linear estimator; Smallest relative mean squared error; Ridge regression; Ordinary least squares
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: February 18, 2019

2017 journal article

Evaluating relationships between hunting and biodiversity knowledge among children

Wildlife Society Bulletin, 41(3), 530–536.

By: M. Peterson n, T. Chesonis n, K. Stevenson n & H. Bondell n

Contributors: M. Peterson n, T. Chesonis n, K. Stevenson n & H. Bondell n

author keywords: biodiversity; children; education; ethnicity; gender; hunting; knowledge
TL;DR: Past participation in hunting among elementary age children in North Carolina, USA, surveyed during 2014 was high and a positive predictor of student's ability to name native wildlife species after controlling for gender, ethnicity, and grade level. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries, Crossref
Added: August 6, 2018

2017 journal article

FULLY EFFICIENT ROBUST ESTIMATION, OUTLIER DETECTION AND VARIABLE SELECTION VIA PENALIZED REGRESSION

STATISTICA SINICA, 28(2), 1031–1052.

By: D. Kong*, H. Bondell* & Y. Wu*

author keywords: Adaptive; breakdown point; least trimmed squares; outliers; penalized regression; robust regression; variable selection
TL;DR: An e-cient algorithm is proposed to solve this jointly penalized optimization problem and use the extended Bayesian information criteria tuning method to select the regularization parameters, since the number of parameters exceeds the sample size. (via Semantic Scholar)
Source: Web Of Science
Added: December 3, 2018

2017 journal article

Variable Selection via Penalized Credible Regions with Dirichlet-Laplace Global-Local Shrinkage Priors

BAYESIAN ANALYSIS, 13(3), 823–844.

By: Y. Zhang* & H. Bondell n

author keywords: variable selection; posterior credible region; global-local shrinkage prior; Dirichlet-Laplace; posterior consistency; hyperparameter tuning
TL;DR: This paper incorporates global-local priors into the credible region selection framework of Bayesian variable selection, and introduces a new method to tune hyperparameters in prior distributions for linear regression. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2016 journal article

Spatial Regression with Covariate Measurement Error: A Semiparametric Approach

BIOMETRICS, 72(3), 678–686.

By: M. Huque*, H. Bondell n, R. Carroll* & L. Ryan*

author keywords: Bivariate smoothing; Geoadditive models; Penalized least squares; Regression calibration; Socio-economic indexes for areas; Spatial linear model
MeSH headings : Bias; Computer Simulation; Geography, Medical; Humans; Models, Statistical; Myocardial Ischemia / epidemiology; Sample Size; Socioeconomic Factors; Spatial Regression
TL;DR: This work proposes a semiparametric regression approach to obtain bias-corrected estimates of regression parameters and derive their large sample properties and demonstrates that the proposed method can be effective in practice. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2016 journal article

The influence of personal beliefs, friends, and family in building climate change concern among adolescents

Environmental Education Research, 25(6), 832–845.

By: K. Stevenson n, M. Peterson n & H. Bondell n

Contributors: K. Stevenson n, M. Peterson n & H. Bondell n

author keywords: Climate change; climate communication; climate literacy; climate change concern; climate education; climate conversations
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
4. Quality Education (Web of Science)
13. Climate Action (Web of Science; OpenAlex)
14. Life Below Water (Web of Science)
15. Life on Land (Web of Science)
Sources: Crossref, ORCID
Added: February 22, 2019

2015 journal article

A penalized likelihood approach for investigating gene-drug interactions in pharmacogenetic studies

BIOMETRICS, 71(2), 529–537.

By: M. Neely*, H. Bondell n & J. Tzeng n

author keywords: Association analysis; Haplotype; Individualized medicine; Multiple comparisons; Penalized regression; Pharmacogenetics
MeSH headings : Antineoplastic Agents / adverse effects; Biometry; Computer Simulation; Female; Genes, bcl-2; Haplotypes; Humans; Likelihood Functions; Models, Statistical; Ovarian Neoplasms / drug therapy; Ovarian Neoplasms / genetics; Pharmacogenetics / statistics & numerical data; Regression Analysis
TL;DR: This work proposes a penalized likelihood approach that is able to overcome the drawbacks of the standard approach and yield the desired personalized output and demonstrates the utility of the method by applying it to the Scottish Randomized Trial in Ovarian Cancer. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2015 journal article

Perspectives of wildlife conservation professionals on intensive deer management

Wildlife Society Bulletin, 39(4), 751–756.

author keywords: deer management; North American Model; Odocoileus virginianus; privatization; Texas; white-tailed deer
UN Sustainable Development Goal Categories
15. Life on Land (Web of Science)
Sources: Crossref, NC State University Libraries
Added: February 21, 2020

2014 journal article

Domain selection for the varying coefficient model via local polynomial regression

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 83, 236–250.

By: D. Kong n, H. Bondell n & Y. Wu n

author keywords: Bandwidth selection; Oracle properties; Penalized local polynomial fitting; SCAD
TL;DR: The estimators enjoy the oracle properties in the sense that they have the same bias and asymptotic variance as the local polynomial estimators as if the sparsity is known as a priori. (via Semantic Scholar)
Source: Web Of Science
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

On the impact of covariate measurement error on spatial regression modelling

ENVIRONMETRICS, 25(8), 560–570.

By: M. Huque*, H. Bondell n & L. Ryan*

author keywords: attenuation; environmental epidemiology; geostatistics; measurement error; mixed models; random effects; SEIFA; sensitivity; spatial correlation; spatial linear regression
TL;DR: It is shown that presence of covariate measurement error can lead to significant sensitivity of parameter estimation to the choice of spatial correlation structure and two different ways to produce consistent estimates are suggested. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2014 journal article

Overcoming skepticism with education: interacting influences of worldview and climate change knowledge on perceived climate change risk among adolescents

Climatic Change, 126(3-4), 293–304.

By: K. Stevenson n, M. Peterson n, H. Bondell n, S. Moore n & S. Carrier n

Contributors: K. Stevenson n, M. Peterson n, H. Bondell n, S. Moore n & S. Carrier n

UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries, Crossref
Added: August 6, 2018

2014 journal article

Role of Significant Life Experiences in Building Environmental Knowledge and Behavior Among Middle School Students

The Journal of Environmental Education, 45(3), 163–177.

By: K. Stevenson n, M. Peterson n, S. Carrier n, R. Strnad n, H. Bondell n, T. Kirby-Hathaway*, S. Moore n

Contributors: K. Stevenson n, M. Peterson n, S. Carrier n, R. Strnad n, H. Bondell n, T. Kirby-Hathaway*, S. Moore n

author keywords: children and nature; environmental behavior; environmental literacy; outdoor education; technology
Sources: Web Of Science, ORCID, NC State University Libraries, Crossref
Added: August 6, 2018

2013 journal article

A Nonparametric Spatial Model for Periodontal Data With Nonrandom Missingness

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 108(503), 820–831.

By: B. Reich n, D. Bandyopadhyay* & H. Bondell n

author keywords: Attachment level; Dirichlet process; Kernel convolution; Nonnormality; Nonstationarity
TL;DR: Application of this methodology to a dataset recording the periodontal health of an African-American population, as well as simulation studies, reveals the gain in model fit and inference, and provides a new perspective into unraveling covariate–response relationships in the presence of complexities posed by these data. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 journal article

Consistent Group Identification and Variable Selection in Regression With Correlated Predictors

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 22(2), 319–340.

By: D. Sharma*, H. Bondell n & H. Zhang n

author keywords: Coefficient shrinkage; Correlation; Oracle properties; Penalization; Structure identification; Supervised clustering
TL;DR: A penalization procedure is proposed that performs variable selection while clustering groups of predictors automatically, and compares favorably with existing selection approaches in both prediction accuracy and model discovery, while retaining its computational efficiency. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2013 journal article

Efficient Robust Regression via Two-Stage Generalized Empirical Likelihood

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 108(502), 644–655.

By: H. Bondell n & L. Stefanski n

author keywords: Asymptotic efficiency; Breakdown point; Consistency; Constrained optimization; Distributional robustness; Efficient estimation; Exponential tilting; Least trimmed squares; Weighted least squares
TL;DR: This work develops and study a linear regression estimator that has relatively high efficiency for small sample sizes and comparable outlier resistance, and is compared to existing robust regression estimators via application to a real dataset with purported outliers. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2013 journal article

Environmental, institutional, and demographic predictors of environmental literacy among middle school children

PLoS One, 8(3).

By: K. Stevenson, M. Peterson, H. Bondell, A. Mertig & S. Moore

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

2013 journal article

Factor Selection and Structural Identification in the Interaction ANOVA Model

BIOMETRICS, 69(1), 70–79.

By: J. Post n & H. Bondell n

author keywords: Grouping; Interaction ANOVA model; Multiple comparisons; Oracle property; Shrinkage; Variable selection
MeSH headings : Age Factors; Analysis of Variance; Computer Simulation; Humans; Memory; Models, Statistical
TL;DR: A new method for accomplishing both of the common analysis tasks simultaneously in an interaction model while also adhering to the heredity-type constraint on the model is introduced. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2013 journal article

Interquantile Shrinkage in Regression Models

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 22(4), 970–986.

By: L. Jiang*, H. Wang n & H. Bondell n

author keywords: Fused LASSO; Noncrossing; Oracle; Quantile regression; Smoothing; Sup-norm
TL;DR: The oracle properties of the two proposed penalization methods are established and it is demonstrated that the proposed methods lead to estimations with competitive or higher efficiency than the standard quantile regression estimation in finite samples. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2013 journal article

Interquantile shrinkage and variable selection in quantile regression

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 69, 208–219.

By: L. Jiang n, H. Bondell n & H. Wang n

author keywords: Fused adaptive Lasso; Fused adaptive sup-norm; Oracle; Quantile regression; Smoothing; Variable selection
Source: Web Of Science
Added: August 6, 2018

2013 journal article

Variable selection for non-parametric quantile regression via smoothing spline analysis of variance

Stat, 2(1), 255–268.

By: C. Lin*, H. Bondell n, H. Zhang* & H. Zou*

author keywords: COSSO; kernel quantile regression; model selection; reproducing kernel Hilbert space
TL;DR: The proposed sparse non‐parametric quantile regression can identify important variables and provide flexible estimates for quantiles and regularization in the context of smoothing spline analysis of variance models is tackled. (via Semantic Scholar)
Source: Crossref
Added: February 21, 2020

2012 journal article

A Confidence Region Approach to Tuning for Variable Selection

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 21(2), 295–314.

By: F. Gunes n & H. Bondell*

author keywords: Adaptive LASSO; Penalized regression; Tuning parameter
TL;DR: An approach to tuning of penalized regression variable selection methods by calculating the sparsest estimator contained in a confidence region of a specified level is developed, and it is proved that by tuning with a sequence of confidence levels converging to one, asymptotic selection consistency is obtained, and with a simple two-stage procedure, an oracle property is achieved. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2012 journal article

Consistent High-Dimensional Bayesian Variable Selection via Penalized Credible Regions

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 107(500), 1610–1624.

By: H. Bondell n & B. Reich n

author keywords: Consistency; Credible region; LASSO; Stochastic search
TL;DR: This work proposes a conjugate prior only on the full model parameters and use sparse solutions within posterior credible regions to perform selection, and shows that these sparse solutions can be computed via existing algorithms. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2012 journal article

Estimating public willingness to fund nongame conservation through state tax initiatives

Wildlife Society Bulletin, 36(3), 483–491.

By: C. Dalrymple*, M. Peterson n, D. Cobb n, E. Sills n, H. Bondell n & D. Dalrymple

author keywords: contingent valuation method; funding; nongame conservation; North Carolina; willingness-to-pay
Sources: Crossref, NC State University Libraries
Added: January 5, 2020

2012 journal article

Predicting native plant landscaping preferences in urban areas

Sustainable Cities and Society, 5, 70–76.

By: M. Peterson n, B. Thurmond n, M. Mchale n, S. Rodriguez n, H. Bondell n & M. Cook n

author keywords: Biodiversity; Ecosystem services; Ethnicity; Landscape design; Native plant garden; Norms
UN Sustainable Development Goal Categories
Source: Crossref
Added: August 28, 2020

2012 journal article

Private landowner interest in market-based incentive programs for endangered species habitat conservation

Wildlife Society Bulletin, 36(3), 469–476.

By: S. Rodriguez n, M. Peterson n, F. Cubbage n, E. Sills n & H. Bondell n

author keywords: contracts; easements; endangered species; market-based incentives; North Carolina; participation; private land; recovery credit system
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science; OpenAlex)
Sources: Crossref, NC State University Libraries
Added: January 5, 2020

2012 journal article

Variable selection for high dimensional Bayesian density estimation: application to human exposure simulation

Journal of the Royal Statistical Society. Series C, Applied Statistics, 61, 47–66.

By: B. Reich, E. Kalendra, C. Storlie, H. Bondell & M. Fuentes

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

2011 journal article

RADIOGRAPHIC EVALUATION OF FELINE APPENDICULAR DEGENERATIVE JOINT DISEASE VS. MACROSCOPIC APPEARANCE OF ARTICULAR CARTILAGE

VETERINARY RADIOLOGY & ULTRASOUND, 52(3), 239–247.

By: M. Freire, I. Robertson*, H. Bondell n, J. Brown*, J. Hash*, A. Pease*, B. Lascelles

author keywords: cartilage damage; cat; DJD; macroscopic; radiographs
MeSH headings : Animals; Arthrography / veterinary; Cartilage, Articular / diagnostic imaging; Cartilage, Articular / pathology; Cat Diseases / diagnostic imaging; Cat Diseases / pathology; Cats; Female; Joint Diseases / diagnostic imaging; Joint Diseases / pathology; Joint Diseases / veterinary; Joints / pathology; Male; Radiographic Image Enhancement
TL;DR: The data support radiographic findings not relating well to cartilage degeneration, and that other modalities should be evaluated to aid in making a diagnosis of feline DJD. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2011 journal article

Surface estimation, variable selection, and the nonparametric oracle property

Statistica Sinica, 21(2), 679–705.

By: C. Storlie, H. Bondell, B. Reich & H. Zhang

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

2010 journal article

A Locally Adaptive Penalty for Estimation of Functions With Varying Roughness

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 19(3), 569–589.

By: C. Storlie*, H. Bondell n & B. Reich n

author keywords: L-Spline; Local bandwidth; Nonparametric regression; Regularization method; Spatially adaptive smoothing; SS-ANOVA
TL;DR: The Loco-Spline substantially outperforms the traditional smoothing spline and the locally adaptive kernel smoother and achieves optimal MSE rate of convergence in a simulation study. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2010 journal article

A Spatial Dirichlet Process Mixture Model for Clustering Population Genetics Data

BIOMETRICS, 67(2), 381–390.

By: B. Reich n & H. Bondell n

author keywords: Bayesian nonparametrics; Dirichlet process prior; Landscape genetics; Microsatellite data; Model-based clustering
MeSH headings : Algorithms; Animals; Bayes Theorem; Cluster Analysis; Computer Simulation; Genetics, Population / methods; Microsatellite Repeats; Montana; Mustelidae / genetics
TL;DR: A Bayesian clustering algorithm based on the Dirichlet process prior that uses both genetic and spatial information to classify individuals into homogeneous clusters for further study is developed. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2010 journal article

Evaluating Haplotype Effects in Case-Control Studies via Penalized-Likelihood Approaches: Prospective or Retrospective Analysis?

GENETIC EPIDEMIOLOGY, 34(8), 892–911.

By: M. Koehler n, H. Bondell n & J. Tzeng n

author keywords: haplotype-based association analysis; variable selection; regularized regression; prospective likelihood; retrospective likelihood
MeSH headings : Algorithms; Case-Control Studies; Computer Simulation; Genes, Dominant; Genes, Recessive; Genotype; Haplotypes / genetics; Humans; Likelihood Functions; Models, Genetic; Prospective Studies; Regression Analysis; Retrospective Studies
TL;DR: The results suggest that the impact of prospective analyses depends on (1) the underlying genetic mode and (2) the genetic model adopted in the analysis, and when the correct genetic model is used, the difference between the two analyses is negligible for additive and slight for dominant haplotype effects. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2010 journal article

Joint Variable Selection for Fixed and Random Effects in Linear Mixed-Effects Models

BIOMETRICS, 66(4), 1069–1077.

By: H. Bondell n, A. Krishna n & S. Ghosh n

Contributors: H. Bondell n, A. Krishna n & S. Ghosh n

author keywords: Adaptive LASSO; Constrained EM algorithm; Linear mixed model; Modified Cholesky decomposition; Penalized likelihood; Variable selection
MeSH headings : Algorithms; Biometry / methods; Computer Simulation; Humans; Likelihood Functions; Linear Models; Models, Statistical
TL;DR: This method is based on a penalized joint log likelihood with an adaptive penalty for the selection and estimation of both the fixed and random effects and enjoys the Oracle property, in that, asymptotically it performs as well as if the true model was known beforehand. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2010 journal article

Noncrossing quantile regression curve estimation

BIOMETRIKA, 97(4), 825–838.

By: H. Bondell n, B. Reich* & H. Wang*

author keywords: Crossing quantile curve; Heteroscedastic error; Quantile regression; Robustness; Smoothing spline; Tropical cyclone
TL;DR: A simple constrained version of quantile regression is proposed to avoid the crossing problem for both linear and nonparametric quantile curves. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2010 journal article

Sufficient Dimension Reduction via Bayesian Mixture Modeling

BIOMETRICS, 67(3), 886–895.

By: B. Reich n, H. Bondell n & L. Li n

author keywords: Central subspace; Directional regression; Probit link function; Sliced inverse regression; Sufficient dimension reduction
MeSH headings : Bayes Theorem; Data Interpretation, Statistical; HIV; Humans; Models, Statistical
TL;DR: A Bayesian solution for sufficient dimension reduction is proposed that directly model the response density in terms of the sufficient predictors using a finite mixture model and offers a unified framework to handle categorical predictor, missing predictors, and Bayesian variable selection. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2009 journal article

A comprehensive approach to haplotype-specific analysis by penalized likelihood

European Journal of Human Genetics, 18(1), 95–103.

By: J. Tzeng n & H. Bondell n

MeSH headings : Computer Simulation; Haplotypes / genetics; Humans; Likelihood Functions; Models, Statistical; Quantitative Trait, Heritable
TL;DR: Simulation studies reveal the better abilities of the proposed method to identify the haplotype effect structure compared with the traditional haplotype association methods, demonstrating the informativeness and powerfulness of the propose method. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Crossref
Added: August 28, 2020

2009 journal article

Flexible Bayesian quantile regression for independent and clustered data

BIOSTATISTICS, 11(2), 337–352.

By: B. Reich n, H. Bondell n & H. Wang n

author keywords: Bayesian semiparametric modeling; Clustered data; Quantile regression; Stick-breaking prior
MeSH headings : Algorithms; Apnea / physiopathology; Bayes Theorem; Biometry / methods; Cluster Analysis; Computer Simulation; Deglutition / physiology; Humans; Markov Chains; Models, Statistical; Monte Carlo Method; Regression Analysis; Statistical Distributions; Time Factors
TL;DR: This paper proposes a flexible Bayesian quantile regression model that assumes that the error distribution is an infinite mixture of Gaussian densities subject to a stochastic constraint that enables inference on the quantile of interest. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2009 journal article

Variable Selection in Bayesian Smoothing Spline ANOVA Models: Application to Deterministic Computer Codes

TECHNOMETRICS, 51(2), 110–120.

By: B. Reich n, C. Storlie* & H. Bondell n

author keywords: Bayesian hierarchical modeling; Markov chain Monte Carlo; Nonparametric regression; Smoothing splines ANOVA; Variable selection
TL;DR: This work proposes a Bayesian nonparametric regression model for curve fitting and variable selection, uses the smoothing splines ANOVA framework, and uses stochastic search variable selection through Markov chain Monte Carlo sampling to search for models that fit the data well. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2008 journal article

Bayesian variable selection using an adaptive powered correlation prior

JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 139(8), 2665–2674.

By: A. Krishna n, H. Bondell n & S. Ghosh n

Contributors: A. Krishna n, H. Bondell n & S. Ghosh n

author keywords: Bayesian variable selection; Collinearity; Powered correlation prior; Zellner's g-prior
TL;DR: An extension of the Zellner's prior is proposed in this article which allow for a power parameter on the empirical covariance of the predictors which helps control the degree to which correlated predictors are smoothed towards or away from one another. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2008 journal article

On robust and efficient estimation of the center of symmetry

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 37(3), 318–327.

By: H. Bondell n

author keywords: characteristic function; efficiency; Hodges-Lehmann estimator; robustness; symmetry
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2008 journal article

Shrinkage inverse regression estimation for model-free variable selection

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 71, 287–299.

By: H. Bondell n & L. Li n

author keywords: Inverse regression estimation; Non-negative garrotte; Sliced inverse regression; Sufficient dimension reduction; Variable selection
Source: Web Of Science
Added: August 6, 2018

2008 article

Simultaneous Factor Selection and Collapsing Levels in ANOVA

Bondell, H. D., & Reich, B. J. (2009, March). BIOMETRICS, Vol. 65, pp. 169–177.

By: H. Bondell n & B. Reich n

author keywords: ANOVA; Grouping; Multiple comparisons; Oracle property; Shrinkage; Variable selection
MeSH headings : Analysis of Variance; Biometry / methods; Computer Simulation; Data Interpretation, Statistical; Models, Theoretical; Regression Analysis
TL;DR: A novel constrained regression approach to simultaneously accomplish both goals via shrinkage within a single automated procedure is proposed, which has the ability to collapse levels within a factor by setting their effects to be equal, while also achieving factor selection by zeroing out entire factors. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2007 journal article

A characteristic function approach to the biased sampling model, with application to robust logistic regression

JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 138(3), 742–755.

By: H. Bondell n

author keywords: biased sampling problem; case-control data; logistic regression; minimum distance; robust regression
UN Sustainable Development Goal Categories
1. No Poverty (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2007 journal article

Simultaneous regression shrinkage, variable selection, and supervised clustering of predictors with OSCAR

BIOMETRICS, 64(1), 115–123.

By: H. Bondell n & B. Reich n

author keywords: correlation; penalization; predictive group; regression; shrinkage; supervised clustering; variable selection
MeSH headings : Algorithms; Artificial Intelligence; Biometry / methods; Cluster Analysis; Computer Simulation; Data Interpretation, Statistical; Epidemiologic Methods; Models, Biological; Models, Statistical; Regression Analysis
TL;DR: A new method called the OSCAR (octagonal shrinkage and clustering algorithm for regression) is proposed to simultaneously select variables while grouping them into predictive clusters, in addition to improving prediction accuracy and interpretation. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2007 journal article

Statistical inference based on pooled data: A moment-based estimating equation approach

JOURNAL OF APPLIED STATISTICS, 34(2), 129–140.

By: H. Bondell n, A. Liu* & E. Schisterman*

author keywords: pooling biospecimens; set-based observations; moments; Box-Cox transformation; goodness-of-fit; lognormal distribution
TL;DR: A moment-based estimating equation approach is proposed to deal with situations where likelihood functions based on pooled data are difficult to work with and is demonstrated on the family of distributions generated by the Box–Cox transformation model. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2007 journal article

Testing goodness-of-fit in logistic case-control studies

BIOMETRIKA, 94(2), 487–495.

By: H. Bondell n

author keywords: biased sampling; case-control data; goodness-of-fit; Kernel density; logistic regression; retrospective sampling
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

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