Works (32)
Updated: July 24th, 2023 21:17
2019 journal article
Multiclass Probability Estimation With Support Vector Machines
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 28(3), 586–595.
author keywords: LDA; Logistic regression; Multiclass classification; Probability estimation; Support vector machines
TL;DR:
This article proposes a simple yet effective framework to endow kernel SVMs with the feature of multiclass probability estimation and demonstrates competitive performance of the new estimator when compared with existing methods such as multiple logistic regression, linear discrimination analysis, tree-based methods, and random forest, under various classification settings.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: April 20, 2020
2013 journal article
Adaptive Elastic Net for Generalized Methods of Moments
JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 32(1), 30–47.
author keywords: GMM; Oracle property; Penalized estimators
TL;DR:
A new technique is introduced that can simultaneously estimate and select the model in generalized method of moments (GMM) context and has the oracle property, meaning that it can estimate nonzero parameters with their standard limit and the redundant parameters are dropped from the equations simultaneously.
(via Semantic Scholar)
open access via europepmc.org (repository)
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
Consistent Group Identification and Variable Selection in Regression With Correlated Predictors
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 22(2), 319–340.
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)
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
Variable selection for covariate-adjusted semiparametric inference in randomized clinical trials
STATISTICS IN MEDICINE, 31(29), 3789–3804.
author keywords: covariate adjustment; false selection rate control; oracle property; semiparametric treatment effect estimation; shrinkage methods; variable selection
MeSH headings : Algorithms; Humans; Models, Statistical; Randomized Controlled Trials as Topic / statistics & numerical data; Research Design; Selection Bias; Statistics, Nonparametric
TL;DR:
It is demonstrated that objective variable selection techniques combined with a semiparametric framework can identify key variables and lead to unbiased and efficient inference on the treatment effect and show its superior performance relative to that of existing methods.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, 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
Linear or Nonlinear? Automatic Structure Discovery for Partially Linear Models
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 106(495), 1099–1112.
author keywords: Model selection; RKHS; Semiparametric regression; Shrinkage; Smoothing splines
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2011 journal article
Surface estimation, variable selection, and the nonparametric oracle property
Statistica Sinica, 21(2), 679–705.
Source: NC State University Libraries
Added: August 6, 2018
2011 journal article
Variable selection for optimal treatment decision
STATISTICAL METHODS IN MEDICAL RESEARCH, 22(5), 493–504.
author keywords: A-learning; optimal treatment strategy; personalized drugs; shrinkage method; variable selection
MeSH headings : Decision Making; Female; Humans; Male; Models, Theoretical; Precision Medicine
TL;DR:
A new penalized regression framework is proposed which can simultaneously estimate the optimal treatment strategy and identify important variables and greatly facilitates implementation and statistical inferences for the estimator.
(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
2010 journal article
Bayesian Inference of Odds Ratios in Misclassified Binary Data with a Validation Substudy
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 39(10), 1845–1854.
author keywords: Bayesian inference; Binary data; Credible interval; Misclassification; Odds ratio
TL;DR:
A fully Bayesian model with a non-informative prior for analyzing misclassified binary data with a validation substudy is proposed and a closed-form algorithm for drawing all parameters from the posterior distribution and making statistical inference on odds ratios is derived.
(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
On Estimation of Partially Linear Transformation Models
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 105(490), 683–691.
author keywords: Estimating equations; Local polynomials; Martingale; Resampling
TL;DR:
A new martingale-based estimating equation approach, consisting of both global and kernel-weighted local estimation equations, is developed for estimating the parametric and nonparametric covariate effects in a unified manner, showing that with a proper choice of the kernel bandwidth parameter, one can obtain the consistent and asymptotically normal parameter estimates for the linear effects.
(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
On sparse estimation for semiparametric linear transformation models
JOURNAL OF MULTIVARIATE ANALYSIS, 101(7), 1594–1606.
author keywords: Censored survival data; Linear transformation models; LARS; Shrinkage; Variable selection
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
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
Sparse estimation and inference for censored median regression
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 140(7), 1903–1917.
author keywords: Censored quantile regression; LASSO; Inverse censoring probability; Solution path
TL;DR:
This paper proposes a new procedure to minimize an inverse-censoring-probability weighted least absolute deviation loss subject to the adaptive LASSO penalty and result in a sparse and robust median estimator and proposes a resampling method to estimate the variance of the estimator.
(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
Weighted Distance Weighted Discrimination and Its Asymptotic Properties
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 105(489), 401–414.
author keywords: Fisher consistency High dimensional; low sample-size data Linear discrimination; Nonstandard asymptotics; Unbalanced data
TL;DR:
The development of optimal weighting schemes for various nonstandard classification problems and several alternative criteria are discussed and an adaptive weighting scheme (awDWD) is proposed and demonstrated to demonstrate its advantages over nonadaptiveWeighting schemes under some 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
2009 journal article
Automatic model selection for partially linear models
JOURNAL OF MULTIVARIATE ANALYSIS, 100(9), 2100–2111.
author keywords: Semiparametric regression; Smoothing splines; Smoothly clipped absolute deviation; Variable selection
TL;DR:
A new type of double-penalized least squares is formulated, using the smoothing spline to estimate the nonparametric part and applying a shrinkage penalty on parametric components to achieve model parsimony.
(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
FIRST: Combining forward iterative selection and shrinkage in high dimensional sparse linear regression
Statistics and Its Interface, 2(3), 341–348.
Source: NC State University Libraries
Added: August 6, 2018
2009 journal article
ON THE ADAPTIVE ELASTIC-NET WITH A DIVERGING NUMBER OF PARAMETERS
ANNALS OF STATISTICS, 37(4), 1733–1751.
author keywords: Adaptive regularization; elastic-net; high dimensionality; model selection; oracle property; shrinkage methods
TL;DR:
This paper proposes the adaptive Elastic-Net that combines the strengths of the quadratic regularization and the adaptively weighted lasso shrinkage and establishes the oracle property of the adaptive elastic-Net under weak regularity conditions.
(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
Variable Selection for Semiparametric Mixed Models in Longitudinal Studies
BIOMETRICS, 66(1), 79–88.
author keywords: Correlated data; Gaussian stochastic process; Linear mixed models; Smoothly clipped absolute deviation; Smoothing splines
MeSH headings : Algorithms; Bayes Theorem; Biometry / methods; Computer Simulation; Data Interpretation, Statistical; Epidemiologic Methods; Information Storage and Retrieval / methods; Longitudinal Studies; Models, Statistical
TL;DR:
A double-penalized likelihood approach for simultaneous model selection and estimation in semiparametric mixed models for longitudinal data, which provides valid inference for data with missing at random and will be more efficient if the specified model is correct.
(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
2008 journal article
A new chi-square approximation to the distribution of non-negative definite quadratic forms in non-central normal variables
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 53(4), 853–856.
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2008 journal article
Sure independence screening for ultrahigh dimensional feature space discussion
Journal of the Royal Statistical Society. Series B, Statistical Methodology, 70, 883–911.
Source: NC State University Libraries
Added: August 6, 2018
2007 journal article
Adaptive lasso for Cox's proportional hazards model
BIOMETRIKA, 94(3), 691–703.
author keywords: adaptive lasso; lasso; penalized partial likelihood; proportional hazards model; variable selection
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2007 journal article
Support vector machines with adaptive L-q penalty
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 51(12), 6380–6394.
author keywords: adaptive penalty; classification; shrinkage; support vector machine; variable selection
TL;DR:
This article proposes and explores an adaptive learning procedure called the L"q SVM, where the best q>0 is automatically chosen by data, and shows that the new adaptive approach combines the benefit of a class of non-adaptive procedures and gives the best performance of this class across a variety of situations.
(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
2007 journal article
Variable selection for proportional odds model
STATISTICS IN MEDICINE, 26(20), 3771–3781.
author keywords: marginal likelihood; proportional odds model; variable selection; shrinkage estimate
MeSH headings : Algorithms; Likelihood Functions; Proportional Hazards Models; Survival Analysis; United States
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2006 journal article
Component selection and smoothing for nonparametric regression in exponential families
Statistica Sinica, 16(3), 1021–1041.
Source: NC State University Libraries
Added: August 6, 2018
2006 journal article
Component selection and smoothing in multivariate nonparametric regression
ANNALS OF STATISTICS, 34(5), 2272–2297.
author keywords: smoothing spline ANOVA; method of regularization; nonparametric regression; nonparametric classification; model selection; machine learning
TL;DR:
A detailed analysis reveals that the COSSO does model selection by applying a novel soft thresholding type operation to the function components, which leads naturally to an iterative 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
2006 journal article
Model selection in nonparametric hazard regression
JOURNAL OF NONPARAMETRIC STATISTICS, 18(7-8), 417–429.
author keywords: COSSO; Cox proportional hazard model; model selection; penalized likelihood
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2006 journal article
Multiclass proximal support vector machines
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 15(2), 339–355.
author keywords: Bayes rule; nonstandard classifications; reproducing kernel Hilbert space.
TL;DR:
An efficient algorithm to implement the MPSVM by solving a system of linear equations requires much less computational effort than solving the standard SVM, which often requires quadratic programming and can be slow for large problems.
(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
2006 journal article
Variable selection for support vector machines via smoothing spline ANOVA
Statistica Sinica, 16(2), 659–674.
Source: NC State University Libraries
Added: August 6, 2018
2005 journal article
Gene selection using support vector machines with non-convex penalty
BIOINFORMATICS, 22(1), 88–95.
MeSH headings : Algorithms; Bayes Theorem; Cluster Analysis; Databases, Genetic; Humans; Models, Genetic; Models, Statistical; Neoplasms / genetics; Neoplasms / metabolism; Oligonucleotide Array Sequence Analysis / methods; Pattern Recognition, Automated; Sequence Analysis, DNA; Software; Time Factors
TL;DR:
A unified procedure for simultaneous gene selection and cancer classification is provided, achieving high accuracy in both aspects and a successive quadratic algorithm is proposed to convert the non-differentiable and non-convex optimization problem into easily solved linear equation systems.
(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
2004 journal article
Model building with likelihood basis pursuit
OPTIMIZATION METHODS & SOFTWARE, 19(5), 577–594.
author keywords: model building; slice models; parameter selection; basis pursuit
TL;DR:
It is shown how slice-modeling techniques significantly improve the efficiency of individual solves and thus speed-up the grid search, and how derivative-free optimization algorithms can find better solutions with fewer function evaluations by seeding them with a coarse grid search.
(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
2004 journal article
Variable selection and model building via likelihood basis pursuit
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 99(467), 659–672.
author keywords: generalized approximate cross-validation; LASSO; Monte Carlo bootstrap test; nonparametric variable selection; slice modeling; smoothing spline ANOVA
TL;DR:
This article presents a nonparametric penalized likelihood approach for variable selection and model building, called likelihood basis pursuit (LBP), and applies it to two large ongoing epidemiologic studies, the Wisconsin Epidemiologic Study of Diabetic Retinopathy and the Beaver Dam Eye Study.
(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
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