Works (52)
Updated: August 13th, 2023 21:17
2022 article
Automatic structure recovery for generalized additive models
Shen, K., & Wu, Y. (2022, October 18). CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE.
author keywords: Backfitting; bandwidth estimation; local polynomial smoothing; profiling; variable selection
TL;DR:
This article proposes an automatic structure recovery method for generalized additive models (GAMs) by extending Wu and Stefanski's approach based on a local scoring algorithm coupled with local polynomial smoothing, along with a kernel‐based variable selection approach.
(via Semantic Scholar)
open access via onlinelibrary.wiley.com (publisher PDF)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: October 31, 2022
2020 journal article
Tuning parameter selection for penalised empirical likelihood with a diverging number of parameters
JOURNAL OF NONPARAMETRIC STATISTICS, 32(1), 246–261.
author keywords: Tuning parameter selection; variable selection; generalised information criterion; empirical likelihood
TL;DR:
A generalised information criterion (GIC) for the penalised empirical likelihood in the linear regression case is proposed and it is shown that the tuning parameter selected by the GIC yields the true model consistently even when the number of predictors diverges to infinity with the sample size.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
16. Peace, Justice and Strong Institutions
(OpenAlex)
Source: Web Of Science
Added: April 20, 2020
2019 journal article
Nonparametric Estimation of Multivariate Mixtures
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 115(531), 1456–1471.
author keywords: Density estimation; Nonparametric mixture model; Tensor
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 12, 2019
2018 journal article
Principal quantile regression for sufficient dimension reduction with heteroscedasticity
ELECTRONIC JOURNAL OF STATISTICS, 12(2), 2114–2140.
author keywords: Heteroscedasticity; kernel quantile regression; principal quantile regression; sufficient dimension reduction
TL;DR:
A new SDR method called principal quantile regression (PQR) is proposed that efficiently and competitively tackles heteroscedasticity and can naturally be extended to a nonlinear version via kernel trick.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: March 25, 2019
2017 journal article
FULLY EFFICIENT ROBUST ESTIMATION, OUTLIER DETECTION AND VARIABLE SELECTION VIA PENALIZED REGRESSION
STATISTICA SINICA, 28(2), 1031–1052.
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)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: December 3, 2018
2017 journal article
Principal weighted support vector machines for sufficient dimension reduction in binary classification
Biometrika, 104(1), 67–81.
Source: NC State University Libraries
Added: August 6, 2018
2017 journal article
The robust EM-type algorithms for log-concave mixtures of regression models
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 111, 14–26.
author keywords: EM algorithm; Log-concave Maximum Likelihood Estimator; Mixture of regression model; Robust regression
TL;DR:
A new method is proposed to estimate the mixture regression parameters by only assuming that the components have log-concave error densities but the specific parametric family is unknown, which has comparable performance to the normal EM algorithm.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2016 journal article
A consistent information criterion for support vector machines in diverging model spaces
Journal of Machine Learning Research, 17.
Source: NC State University Libraries
Added: August 6, 2018
2016 journal article
An Error bound for l-1-norm support vector machine coefficients in ultra-high dimension
Journal of Machine Learning Research, 17.
Source: NC State University Libraries
Added: August 6, 2018
2016 journal article
LOCAL INDEPENDENCE FEATURE SCREENING FOR NONPARAMETRIC AND SEMIPARAMETRIC MODELS BY MARGINAL EMPIRICAL LIKELIHOOD
ANNALS OF STATISTICS, 44(2), 515–539.
author keywords: Empirical likelihood; high-dimensional data analysis; nonparametric and semiparametric models; sure independence screening
TL;DR:
This work considers an independence feature screening technique for identifying explanatory variables that locally contribute to the response variable in high-dimensional regression analysis that accommodates a wide spectrum of nonparametric and semiparametric model families.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2016 journal article
Laccase-immobilized bacterial cellulose/TiO2 functionalized composite membranes: Evaluation for photo- and bio-catalytic dye degradation
Journal of Membrane Science, 525, 89–98.
author keywords: Laccase; Bacterial cellulose; Titanium dioxide; Immobilization; Dye degradation
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation
(Web of Science)
Sources: Web Of Science, Crossref, NC State University Libraries
Added: August 6, 2018
2016 journal article
Maximum likelihood estimation of the mixture of log-concave densities
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 101, 137–147.
author keywords: Consistency; Log-concave maximum likelihood estimator (LCMLE); Mixture model
TL;DR:
This paper considers a much more flexible mixture model, which assumes each component density to be log-concave, and shows that the LCMLE improves the clustering results while comparing with the traditional MLE for parametric mixture models.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2016 journal article
On quantile regression in reproducing kernel hilbert spaces with the data sparsity constraint
Journal of Machine Learning Research, 17.
Source: NC State University Libraries
Added: August 6, 2018
2016 journal article
Probability-enhanced effective dimension reduction for classifying sparse functional data
TEST, 25(1), 1–22.
Source: NC State University Libraries
Added: August 6, 2018
2016 article
Rejoinder on: Probability enhanced effective dimension reduction for classifying sparse functional data
Yao, F., Wu, Y., & Zou, J. (2016, March). TEST, Vol. 25, pp. 52–58.
TL;DR:
The views about the proposed work’s major contributions to the area of sparse functional data classification are expressed and some possible future research directions are suggested.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2015 journal article
Automatic structure recovery for additive models
BIOMETRIKA, 102(2), 381–395.
author keywords: Backfitting; Bandwidth estimation; Kernel; Local polynomial; Measurement-error model selection likelihood; Model selection; Profiling; Smoothing; Variable selection
TL;DR:
An automatic structure recovery method for additive models, based on a backfitting algorithm coupled with local polynomial smoothing, in conjunction with a new kernel-based variable selection strategy is proposed, and an extension to partially linear models is described.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2015 journal article
Effective dimension reduction for sparse functional data
BIOMETRIKA, 102(2), 421–437.
author keywords: Cumulative slicing; Effective dimension reduction; Inverse regression; Sparse functional data
TL;DR:
The theoretical study reveals a bias-variance trade-off associated with the regularizing truncation and decaying structures of the predictor process and the effective dimension reduction space.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2015 journal article
Homogeneity Pursuit
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 110(509), 175–194.
author keywords: Clustering; Sparsity
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2015 journal article
IsoDOT Detects Differential RNA-Isoform Expression/Usage With Respect to a Categorical or Continuous Covariate With High Sensitivity and Specificity
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 110(511), 975–986.
author keywords: Differential isoform expression; Differential isoform usage; Isoform; Penalized regression; RNA-seq
TL;DR:
A statistical method named IsoDOT is developed to assess differential isoform expression (DIE) and differentialisoform usage (DIU) using RNA-seq data and identifies a group of genes whose isoform usages respond to haloperidol treatment.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2015 journal article
Parametrically guided estimation in nonparametric varying coefficient models with quasi-likelihood
JOURNAL OF NONPARAMETRIC STATISTICS, 27(2), 195–213.
Contributors: C. Davenport n, A. Maity n & n
author keywords: nonparametric regression; varying coefficient model; generalised linear models; local polynomial smoothing; parametrically guided estimation; 62G08; 62J12
TL;DR:
A guided estimation procedure for the nonparametric VCMs is developed and asymptotic properties are established for the guided estimators and a method of bandwidth selection via bias-variance tradeoff is proposed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018
2015 journal article
Variable selection for support vector machines in moderately high dimensions
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 78(1), 53–76.
author keywords: Local linear approximation; Non-convex penalty; Oracle property; Support vector machines; Ultrahigh dimensions; Variable selection
TL;DR:
It is proved that, in ultrahigh dimensions, there is one local minimizer to the objective function of non‐convex penalized SVMs having the desired oracle property and the local linear approximation algorithm is guaranteed to converge to the oracle estimator even in the ultrahigh dimensional setting if an appropriate initial estimator is available.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2014 journal article
ConvexLAR: An Extension of Least Angle Regression
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 24(3), 603–626.
author keywords: Solution path; Group lasso; Regularization; Ordinary differential equation (ODE); Lasso
TL;DR:
This article proposes a ConvexLAR algorithm that works for any convex loss function and naturally extends to group selection and data adaptive variable selection and yields new exact path algorithms for certain penalty methods such as a conveX loss function with lasso or group lasso penalty.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2014 journal article
Domain selection for the varying coefficient model via local polynomial regression
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 83, 236–250.
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)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2014 journal article
RKHS-based functional nonparametric regression for sparse and irregular longitudinal data
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 42(2), 204–216.
author keywords: Functional nonparametric regression; longitudinal data; RKHS; sparse and irregular
TL;DR:
A new functional nonparametric regression framework based on reproducing kernel Hilbert spaces (RKHS) is proposed, which shows improvement over existing methods in simulation studies as well as in a real data example.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2014 journal article
Variable selection for sparse high-dimensional nonlinear regression models by combining nonnegative garrote and sure independence screening
Statistica Sinica, 24(3), 1365–1387.
Source: NC State University Libraries
Added: August 6, 2018
2014 article
Variable selection in large margin classifier-based probability estimation with high-dimensional predictors
Shin, S. J., & Wu, Y. (2014, July). BIOMETRICAL JOURNAL, Vol. 56, pp. 594–596.
author keywords: Max-type penalty; Regularization; Variable selection
MeSH headings : Artificial Intelligence; Probability; Support Vector Machine
TL;DR:
This is a discussion of the papers: “Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory and Applications” by Jochen Kruppa, Yufeng Liu, Hans‐Christian Diener, Theresa Holste, Christian Weimar, Inke R. König, and Andreas Ziegler.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2013 journal article
A Generic Path Algorithm for Regularized Statistical Estimation
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 109(506), 686–699.
author keywords: Gaussian graphical model; Generalized linear model; Lasso; Log-concave density estimation; Ordinary differential equations; Quasi-likelihoods; Regularization; Shape restricted regression; Solution path
TL;DR:
This article proposes an exact path solver based on ordinary differential equations (EPSODE) that works for any convex loss function and can deal with generalized ℓ1 penalties as well as more complicated regularization such as inequality constraints encountered in shape-restricted regressions and nonparametric density estimation.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2013 journal article
Adaptively Weighted Large Margin Classifiers
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 22(2), 416–432.
author keywords: Binary classification; Data adaptive learning; Multicategory classification; SVM; Weighted learning
TL;DR:
A new weighted large margin classification technique is proposed that is robust to outliers and thus is able to produce more accurate classification results.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2013 journal article
Continuously additive models for nonlinear functional regression
BIOMETRIKA, 100(3), 607–622.
author keywords: Berkeley growth study; Functional data analysis; Functional regression; Gene expression; Generalized response; Stochastic process; Tensor spline
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2013 journal article
Coordinate great circle descent algorithm with application to single-index models
Statistics and Its Interface, 6(4), 511–518.
TL;DR:
A novel coordinate great circle descent algorithm is proposed to solve family of optimization problems with a unit-norm constraint and the validity of the algorithm is justified both theoretically and via simulation studies.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018
2013 journal article
Functional Robust Support Vector Machines for Sparse and Irregular Longitudinal Data
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 22(2), 379–395.
author keywords: Classification; Functional principal component analysis; Multicategory; Reproducing kernel Hilbert space; SVM; Truncated-hinge-loss SVM
TL;DR:
This article proposes functional robust truncated-hinge-loss support vector machines to perform multicategory classification with the aid of functional principal component analysis on sparse and irregular longitudinal data with a multicategory response.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2013 journal article
MARGINAL EMPIRICAL LIKELIHOOD AND SURE INDEPENDENCE FEATURE SCREENING
ANNALS OF STATISTICS, 41(4), 2123–2148.
author keywords: Empirical likelihood; high-dimensional data analysis; sure independence screening; large deviation
TL;DR:
It is found that the marginal empirical likelihood ratio evaluated at zero can be used to differentiate whether an explanatory variable is contributing to a response variable or not, and a unified feature screening procedure for linear models and the generalized linear models is proposed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2013 journal article
Two-dimensional solution surface for weighted support vector machines
Journal of Computational and Graphical Statistics, 23(2), 383–402.
TL;DR:
This article establishes that the WSVM solutions are jointly piecewise-linear with respect to both the regularization and weight parameter and develops a state-of-the-art algorithm that can compute the entire trajectory of theWSVM solutions for every pair of the regularized parameter and the weight parameter at a feasible computational cost.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: NC State University Libraries
Added: August 6, 2018
2012 journal article
Elastic net for Cox's proportional hazards model with a solution path algorithm
Statistica Sinica, 22(1), 271–294.
Source: NC State University Libraries
Added: August 6, 2018
2012 journal article
Parametrically guided generalised additive models with application to mergers and acquisitions data
JOURNAL OF NONPARAMETRIC STATISTICS, 25(1), 109–128.
author keywords: generalised additive model; leveraged buyout; local polynomial; mergers and acquisitions; parametric guide
TL;DR:
An estimation procedure where the prior information is used as a parametric guide to fit the additive model is proposed and it is shown that when a good guide is chosen, the asymptotic variance of the estimates can be reduced significantly while keeping theAsymptosis variance same as the unguided estimator.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018
2012 journal article
Quantile Regression for Analyzing Heterogeneity in Ultra-High Dimension
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 107(497), 214–222.
author keywords: Penalized quantile regression; SCAD; Sparsity; Ultra-high-dimensional data
TL;DR:
A novel, sufficient optimality condition that relies on a convex differencing representation of the penalized loss function and the subdifferential calculus is introduced that enables the oracle property for sparse quantile regression in the ultra-high dimension under relaxed conditions.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
16. Peace, Justice and Strong Institutions
(OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2011 journal article
Asymptotic properties of sufficient dimension reduction with a diverging number of predictors
Statistica Sinica, 21(2), 707–730.
Source: NC State University Libraries
Added: August 6, 2018
2011 journal article
Hard or Soft Classification? Large-Margin Unified Machines
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 106(493), 166–177.
author keywords: Class probability estimation; DWD; Fisher consistency; Regularization; SVM
TL;DR:
A novel family of large- margin classifiers, namely large-margin unified machines (LUMs), which covers a broad range of margin-based classifiers including both hard and soft ones are proposed and theoretical consistency and numerical performance of LUMs are explored.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
16. Peace, Justice and Strong Institutions
(OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2011 journal article
Simultaneous multiple non-crossing quantile regression estimation using kernel constraints
JOURNAL OF NONPARAMETRIC STATISTICS, 23(2), 415–437.
author keywords: asymptotic normality; kernel; multiple quantile regression; non-crossing; oracle property; regularisation; variable selection
TL;DR:
This paper proposes a new kernel-based multiple QR estimation technique, namely simultaneous non-crossing quantile regression (SNQR), which uses kernel representations for QR functions and applies constraints on the kernel coefficients to avoid crossing.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2010 journal article
An ordinary differential equation-based solution path algorithm
JOURNAL OF NONPARAMETRIC STATISTICS, 23(1), 185–199.
author keywords: generalised linear model; LARS; LASSO; ordinary differential equation; solution path algorithm; QuasiLARS; quasi-likelihood model
TL;DR:
This work proposes an extension of the LAR for generalised linear models and the quasi-likelihood model by showing that the corresponding solution path is piecewise given by solutions of ordinary differential equation (ODE) systems.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2010 journal article
Estimation and Prediction of a Class of Convolution-Based Spatial Nonstationary Models for Large Spatial Data
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 19(1), 74–95.
author keywords: Kriging; Local linear smoothing; Matern covariance function; Modified Bessel function; Tapering
TL;DR:
This article model the spatial process as a convolution of independent Gaussian processes, with the spatially varying kernel function given by the modified Bessel functions, a generalization of the process-convolution approach of Higdon, Swall, and Kern (1999).
(via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2010 journal article
Robust Model-Free Multiclass Probability Estimation
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 105(489), 424–436.
author keywords: Fisher consistency; Hard classification; Multicategory classification; Probability estimation; Soft classification; SVM
TL;DR:
A model-free procedure to estimate multiclass probabilities based on large-margin classifiers by solving a series of weighted large- margin classifiers and then systematically extracting the probability information from these multiple classification rules is developed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
10. Reduced Inequalities
(OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2010 journal article
The MicroArray Quality Control (MAQC)-IIII study of common practices for the development and validation of microarray-based predictive models
Nature Biotechnology, 28(8), 827–109.
Source: NC State University Libraries
Added: August 6, 2018
2010 conference paper
Utility-based weighted multicategory robust support vector machines
Statistics and its Interface, 3(4), 465–475.
TL;DR:
It is shown that surprisingly, the cost- based weights do not work well for weighted extensions of the RSVM, and a novel utility-based weights for the weighted RSVM is proposed, as an extension of the standard SVM.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2010 journal article
Varying-coefficient functional linear regression
BERNOULLI, 16(3), 730–758.
author keywords: asymptotics; eigenfunctions; functional data analysis; local polynomial smoothing; longitudinal data; varying-coefficient models
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2009 journal article
Azithromycin treatment alters gene expression in inflammatory, lipid metabolism, and cell cycle pathways in well-differentiated human airway epithelia
PLoS One, 4(6).
Source: NC State University Libraries
Added: August 6, 2018
2009 journal article
LOCAL QUASI-LIKELIHOOD WITH A PARAMETRIC GUIDE
ANNALS OF STATISTICS, 37(6B), 4153–4183.
author keywords: Generalized linear model; local polynomial smoothing; parametric guide; quasi-likelihood method
TL;DR:
This work proposes two parametrically guided nonparametric estimation schemes by incorporating prior shape information on the link transformation of the response variable's conditional mean in terms of the predictor variable.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2009 journal article
NETWORK EXPLORATION VIA THE ADAPTIVE LASSO AND SCAD PENALTIES
ANNALS OF APPLIED STATISTICS, 3(2), 521–541.
author keywords: Adaptive LASSO; covariance selection; Gaussian concentration graphical model; genetic network; LASSO; precision matrix; SCAD
TL;DR:
Non-concave penalties and the adaptive LASSO penalty are introduced to attenuate the bias problem in the network estimation to solve the problem of precision matrix estimation.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
16. Peace, Justice and Strong Institutions
(OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2009 journal article
Stepwise multiple quantile regression estimation using non-crossing constraints
Statistics and Its Interface, 2(3), 299–310.
Source: NC State University Libraries
Added: August 6, 2018
2009 journal article
Ultrahigh dimensional feature selection: Beyond the linear model
Journal of Machine Learning Research, 10, 2013–2038.
Source: NC State University Libraries
Added: August 6, 2018
2009 journal article
Variable selection in quantile regression
Statistica Sinica, 19(2), 801–817.
Source: NC State University Libraries
Added: August 6, 2018
2008 journal article
Semiparametric Estimation of Covariance Matrixes for Longitudinal Data
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 103(484), 1520–1533.
author keywords: Correlation structure; Difference-based estimation; Quasi-maximum likelihood; Varying-coefficient partially linear model
TL;DR:
This work considers the possibility of rough mean regression function and introduces the difference-based method to reduce biases in the context of varying-coefficient partially linear mean regression models and provides a more robust estimator of the covariance function under a wider range of situations.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
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