Using Nonnegative Minimum Biased Quadratic Estimation for Variable Selection in the Linear Regression Model

Proceedings of the International Conference on Linear Statistical Inference LINSTAT ’93 ◽

10.1007/978-94-011-1004-4_7 ◽

1994 ◽

pp. 65-71 ◽

Author(s):

Stanislaw Gnot ◽

Henning Knautz ◽

Götz Trenkler

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Regression Model ◽

Linear Regression Model ◽

Quadratic Estimation

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Nonnegative quadratic estimation of the mean squared errors of minimax estimators in the linear regression model

Acta Applicandae Mathematicae ◽

10.1007/bf00046988 ◽

1996 ◽

Vol 43 (1) ◽

pp. 71-80 ◽

Author(s):

S. Gnot ◽

G. Trenkler

Keyword(s):

Linear Regression ◽

Regression Model ◽

Linear Regression Model ◽

Mean Squared Errors ◽

Minimax Estimators ◽

The Mean ◽

Quadratic Estimation

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An Additive Sparse Penalty for Variable Selection in High-Dimensional Linear Regression Model

Communications for Statistical Applications and Methods ◽

10.5351/csam.2015.22.2.147 ◽

2015 ◽

Vol 22 (2) ◽

pp. 147-157 ◽

Author(s):

Sangin Lee

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Regression Model ◽

Linear Regression Model ◽

High Dimensional

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Bayesian variable selection and coefficient estimation in heteroscedastic linear regression model

Journal of Applied Statistics ◽

10.1080/02664763.2018.1432576 ◽

2018 ◽

Vol 45 (14) ◽

pp. 2643-2657 ◽

Author(s):

Taha Alshaybawee ◽

Rahim Alhamzawi ◽

Habshah Midi ◽

Intisar Ibrahim Allyas

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Regression Model ◽

Linear Regression Model ◽

Bayesian Variable Selection ◽

Coefficient Estimation

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A nonlinear mixed–integer programming approach for variable selection in linear regression model

Communications in Statistics - Simulation and Computation ◽

10.1080/03610918.2021.1990323 ◽

2021 ◽

pp. 1-12

Author(s):

Mahdi Roozbeh ◽

Saman Babaie–Kafaki ◽

Zohre Aminifard

Keyword(s):

Integer Programming ◽

Linear Regression ◽

Variable Selection ◽

Regression Model ◽

Mixed Integer Programming ◽

Linear Regression Model ◽

Mixed Integer ◽

Programming Approach

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Variable selection in partly linear regression model with diverging dimensions for right censored data

Statistica Sinica ◽

10.5705/ss.2010.267 ◽

2012 ◽

Vol 22 (3) ◽

Author(s):

Shuangge Ma ◽

Pang Du

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Regression Model ◽

Censored Data ◽

Linear Regression Model ◽

Right Censored Data

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A monte carlo study of variable selection and inferences in a two stage random coefficient linear regression model with unbalanced data

Communication in Statistics- Theory and Methods ◽

10.1080/03610929108830740 ◽

1991 ◽

Vol 20 (12) ◽

pp. 3761-3791 ◽

Author(s):

So Young Sohn ◽

Mainak Mazumdar

Keyword(s):

Monte Carlo ◽

Linear Regression ◽

Variable Selection ◽

Regression Model ◽

Linear Regression Model ◽

Monte Carlo Study ◽

Random Coefficient ◽

Unbalanced Data ◽

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Objective Bayesian variable selection in linear regression model

Journal of Statistical Computation and Simulation ◽

10.1080/00949655.2021.1987434 ◽

2021 ◽

pp. 1-25

Author(s):

Sang Gil Kang ◽

Dal Ho Kim ◽

Woo Dong Lee ◽

Yongku Kim

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Regression Model ◽

Linear Regression Model ◽

Bayesian Variable Selection

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Perfect sampling for Bayesian variable selection in a linear regression model

Journal of Statistical Planning and Inference ◽

10.1016/j.jspi.2003.09.009 ◽

2004 ◽

Vol 126 (1) ◽

pp. 153-171 ◽

Author(s):

U. Schneider ◽

J.N. Corcoran

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Regression Model ◽

Linear Regression Model ◽

Bayesian Variable Selection ◽

Perfect Sampling

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Variable Selection via Biased Estimators in the Linear Regression Model

Open Journal of Statistics ◽

10.4236/ojs.2020.101009 ◽

2020 ◽

Vol 10 (01) ◽

pp. 113-126

Author(s):

Manickavasagar Kayanan ◽

Pushpakanthie Wijekoon

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Regression Model ◽

Linear Regression Model ◽

Biased Estimators

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Nonparametric estimation and testing linear hypotheses in the linear regression model

Optimization ◽

10.1080/02331937508842249 ◽

1975 ◽

Vol 6 (2) ◽

pp. 269-283

Author(s):

Jana Jureková

Keyword(s):

Linear Regression ◽

Regression Model ◽

Nonparametric Estimation ◽

Linear Regression Model ◽

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