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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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Convex Modeling of Interactions With Strong Heredity

Journal of computational and graphical statistics, 2016-12, Vol.25 (4), p.981-1004

2016

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Stochastic model specification search for Gaussian and partial non-Gaussian state space models

Econometrics, 2010-01, Vol.154 (1), p.85-100

2010

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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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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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A variable selection method based on Tabu search for logistic regression models

European journal of operational research, 2009-12, Vol.199 (2), p.506-511

2009

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Short-term wind power forecasting using evolutionary algorithms for the automated specification of artificial intelligence models

International journal of forecasting, 2008-10, Vol.24 (4), p.694-709

2008

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Consistent tuning parameter selection in high dimensional sparse linear regression

Journal of multivariate analysis, 2011-08, Vol.102 (7), p.1141-1151

2011

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Variable selection in robust regression models for longitudinal data

Journal of multivariate analysis, 2012-08, Vol.109, p.156-167

2012

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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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Variable selection for semiparametric varying coefficient partially linear errors-in-variables models

Journal of multivariate analysis, 2010-09, Vol.101 (8), p.1872-1883

2010

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Regression density estimation using smooth adaptive Gaussian mixtures

Econometrics, 2009-12, Vol.153 (2), p.155-173

2009

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Variable Selection in General Frailty Models Using Penalized H-Likelihood

Journal of computational and graphical statistics, 2014-10, Vol.23 (4), p.1044-1060

2014

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Variable selection in model-based discriminant analysis

Journal of multivariate analysis, 2011-11, Vol.102 (10), p.1374-1387

2011

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Positive Semidefinite Rank-Based Correlation Matrix Estimation With Application to Semiparametric Graph Estimation

Journal of computational and graphical statistics, 2014-10, Vol.23 (4), p.895-922

2014

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Non-convex penalized estimation in high-dimensional models with single-index structure

Journal of multivariate analysis, 2012-08, Vol.109, p.221-235

2012

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CONTROLLING THE FALSE DISCOVERY RATE VIA KNOCKOFFS

The Annals of statistics, 2015-10, Vol.43 (5), p.2055-2085

2015

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NEARLY UNBIASED VARIABLE SELECTION UNDER MINIMAX CONCAVE PENALTY

The Annals of statistics, 2010-04, Vol.38 (2), p.894-942

Zhang, Cun-Hui

2010

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ON THE COMPUTATIONAL COMPLEXITY OF HIGH-DIMENSIONAL BAYESIAN VARIABLE SELECTION

The Annals of statistics, 2016-12, Vol.44 (6), p.2497-2532

2016

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Heterogeneous treatment effects: Instrumental variables without monotonicity?

Econometrics, 2010-04, Vol.155 (2), p.99-116

Klein, Tobias J.

2010

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Automatic model selection for partially linear models

Journal of multivariate analysis, 2009-10, Vol.100 (9), p.2100-2111

2009

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Reporting of covariate selection and balance assessment in propensity score analysis is suboptimal: a systematic review

Journal of clinical epidemiology, 2015-02, Vol.68 (2), p.122-131

2015

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SUPPORT RECOVERY WITHOUT INCOHERENCE: A CASE FOR NONCONVEX REGULARIZATION

The Annals of statistics, 2017-12, Vol.45 (6), p.2455-2482

2017

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Direct variable selection for discrimination among several groups

Journal of multivariate analysis, 2012-02, Vol.105 (1), p.151-163

Nkiet, Guy Martial

2012

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Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks

Energy economics, 2018-02, Vol.70, p.396-420

2018

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CALIBRATING NONCONVEX PENALIZED REGRESSION IN ULTRA-HIGH DIMENSION

Convex Modeling of Interactions With Strong Heredity

Stochastic model specification search for Gaussian and partial non-Gaussian state space models

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

Efficient Design and Analysis for a Selective Choice Process

A variable selection method based on Tabu search for logistic regression models

Short-term wind power forecasting using evolutionary algorithms for the automated specification of artificial intelligence models

Consistent tuning parameter selection in high dimensional sparse linear regression

Variable selection in robust regression models for longitudinal data

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

Variable selection for semiparametric varying coefficient partially linear errors-in-variables models

Regression density estimation using smooth adaptive Gaussian mixtures

Variable Selection in General Frailty Models Using Penalized H-Likelihood

Variable selection in model-based discriminant analysis

Positive Semidefinite Rank-Based Correlation Matrix Estimation With Application to Semiparametric Graph Estimation

Non-convex penalized estimation in high-dimensional models with single-index structure

CONTROLLING THE FALSE DISCOVERY RATE VIA KNOCKOFFS

NEARLY UNBIASED VARIABLE SELECTION UNDER MINIMAX CONCAVE PENALTY

ON THE COMPUTATIONAL COMPLEXITY OF HIGH-DIMENSIONAL BAYESIAN VARIABLE SELECTION

Heterogeneous treatment effects: Instrumental variables without monotonicity?

Automatic model selection for partially linear models

Reporting of covariate selection and balance assessment in propensity score analysis is suboptimal: a systematic review

SUPPORT RECOVERY WITHOUT INCOHERENCE: A CASE FOR NONCONVEX REGULARIZATION

Direct variable selection for discrimination among several groups

Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks

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