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Feature-weighted elastic net: using "features of features" for better prediction

Statistica Sinica, 2023-01, Vol.33 (1), p.259-279

2023

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CALIBRATING NONCONVEX PENALIZED REGRESSION IN ULTRA-HIGH DIMENSION

The Annals of statistics, 2013-10, Vol.41 (5), p.2505-2536

2013

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Variable selection for high‐dimensional partly linear additive Cox model with application to Alzheimer's disease

Statistics in medicine, 2020-10, Vol.39 (23), p.3120-3134

2020

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Scalable importance tempering and Bayesian variable selection

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2019-07, Vol.81 (3), p.489-517

2019

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Variable selection, monotone likelihood ratio and group sparsity

The Annals of statistics, 2023-02, Vol.51 (1), p.312-333

2023

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Multiobjective reservoir operating rules based on cascade reservoir input variable selection method

Water resources research, 2017-04, Vol.53 (4), p.3446-3463

2017

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Ultrahigh‐dimensional generalized additive model: Unified theory and methods

Scandinavian journal of statistics, 2022-09, Vol.49 (3), p.917-942

2022

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Asymptotic Optimality of Cp-Type Criteria in High-Dimensional Multivariate Linear Regression Models

Statistica Sinica, 2023-01

Imori, Shinpei

2023

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Scalable Bayesian Variable Selection for Structured High-Dimensional Data

Biometrics, 2018-12, Vol.74 (4), p.1372-1382

2018

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High dimensional data challenges in estimating multiple linear regression

Journal of physics. Conference series, 2020-07, Vol.1591 (1), p.12035

Hussain, Jassim N

2020

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Variable Selection‐based Multivariate Cumulative Sum Control Chart

Quality and reliability engineering international, 2017-04, Vol.33 (3), p.565-578

2017

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Dynamic clinical prediction models for discrete time‐to‐event data with competing risks—A case study on the OUTCOMEREA database

Biometrical journal, 2019-05, Vol.61 (3), p.514-534

2019

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Group regularization for zero‐inflated negative binomial regression models with an application to health care demand in Germany

Statistics in medicine, 2018-09, Vol.37 (20), p.3012-3026

2018

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Efficient Design and Analysis for a Selective Choice Process

Journal of marketing research, 2017-06, Vol.54 (3), p.430-446

2017

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Nonparametric Statistical Inference with an Emphasis on Information-Theoretic Methods

Mielniczuk, Jan

2022

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On selective learning in stochastic stepwise ensembles

International journal of machine learning and cybernetics, 2020, Vol.11 (1), p.217-230

2020

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Ranking the importance of genetic factors by variable-selection confidence sets

Journal of the Royal Statistical Society Series C: Applied Statistics, 2019-04, Vol.68 (3), p.727-749

2019

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Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem

The Annals of statistics, 2010-10, Vol.38 (5)

2010

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PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection

Computational statistics, 2016-12, Vol.31 (4), p.1237-1262

2016

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Predictive Biomarker Identification for Biopharmaceutical Development

Statistics in biopharmaceutical research, 2021-04, Vol.13 (2), p.239-247

2021

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Variable selection methods in regression: Ignorable problem, outing notable solution

Journal of targeting, measurement and analysis for marketing, 2010-03, Vol.18 (1), p.65-75

Ratner, Bruce

2010

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Stochastic search variable selection based on two mixture components and continuous‐scale weighting

Biometrical journal, 2019-05, Vol.61 (3), p.729-746

2019

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Introducing ‘Simple Variable Selection (SVS) Approach’ for Improving the Quantitative Accuracy of Chemometric Assisted Fluorimetric Estimations of Dilute Aqueous Mixtures

Journal of fluorescence, 2018-09, Vol.28 (5), p.1163-1171

Kumar, Keshav

2018

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Backward Stepwise Elimination: Approximation Guarantee, a Batched GPU Algorithm, and Empirical Investigation

SN computer science, 2021-09, Vol.2 (5), p.396, Article 396

2021

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Nearly unbiased variable selection under minimax concave penalty

The Annals of statistics, 2010-04, Vol.38 (2)

Zhang, Cun-Hui

2010

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Feature-weighted elastic net: using "features of features" for better prediction

CALIBRATING NONCONVEX PENALIZED REGRESSION IN ULTRA-HIGH DIMENSION

Variable selection for high‐dimensional partly linear additive Cox model with application to Alzheimer's disease

Scalable importance tempering and Bayesian variable selection

Variable selection, monotone likelihood ratio and group sparsity

Multiobjective reservoir operating rules based on cascade reservoir input variable selection method

Ultrahigh‐dimensional generalized additive model: Unified theory and methods

Asymptotic Optimality of Cp-Type Criteria in High-Dimensional Multivariate Linear Regression Models

Scalable Bayesian Variable Selection for Structured High-Dimensional Data

High dimensional data challenges in estimating multiple linear regression

Variable Selection‐based Multivariate Cumulative Sum Control Chart

Dynamic clinical prediction models for discrete time‐to‐event data with competing risks—A case study on the OUTCOMEREA database

Group regularization for zero‐inflated negative binomial regression models with an application to health care demand in Germany

Efficient Design and Analysis for a Selective Choice Process

Nonparametric Statistical Inference with an Emphasis on Information-Theoretic Methods

On selective learning in stochastic stepwise ensembles

Ranking the importance of genetic factors by variable-selection confidence sets

Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem

PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection

Predictive Biomarker Identification for Biopharmaceutical Development

Variable selection methods in regression: Ignorable problem, outing notable solution

Stochastic search variable selection based on two mixture components and continuous‐scale weighting

Introducing ‘Simple Variable Selection (SVS) Approach’ for Improving the Quantitative Accuracy of Chemometric Assisted Fluorimetric Estimations of Dilute Aqueous Mixtures

Backward Stepwise Elimination: Approximation Guarantee, a Batched GPU Algorithm, and Empirical Investigation

Nearly unbiased variable selection under minimax concave penalty

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