Bayesian linear regression and variable selection for spectroscopic calibration

Analytica Chimica Acta ◽

10.1016/j.aca.2008.10.014 ◽

2009 ◽

Vol 631 (1) ◽

pp. 13-21 ◽

Author(s):

Tao Chen ◽

Elaine Martin

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Bayesian Linear Regression ◽

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Variable selection for linear regression in large databases: exact methods

Applied Intelligence ◽

10.1007/s10489-020-01927-6 ◽

2020 ◽

Author(s):

Joaquín Pacheco ◽

Silvia Casado

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Exact Methods ◽

Large Databases ◽

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Estimation and variable selection for partial functional linear regression

AStA Advances in Statistical Analysis ◽

10.1007/s10182-018-00342-0 ◽

2018 ◽

Vol 103 (4) ◽

pp. 475-501

Author(s):

Qingguo Tang ◽

Peng Jin

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Selection For ◽

Functional Linear Regression

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Bayesian Variable Selection for Multi-response Linear Regression

Technologies and Applications of Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-13987-6_8 ◽

2014 ◽

pp. 74-88 ◽

Author(s):

Wan-Ping Chen ◽

Ying Nian Wu ◽

Ray-Bin Chen

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Bayesian Variable Selection ◽

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Big Data Bayesian Linear Regression and Variable Selection by Normal-Inverse-Gamma Summation

Bayesian Analysis ◽

10.1214/17-ba1083 ◽

2018 ◽

Vol 13 (4) ◽

pp. 1011-1035

Author(s):

Hang Qian

Keyword(s):

Big Data ◽

Linear Regression ◽

Variable Selection ◽

Inverse Gamma ◽

Bayesian Linear Regression

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Robust variable selection for mixture linear regression models

Hacettepe Journal of Mathematics and Statistics ◽

10.15672/hjms.2015549560 ◽

2015 ◽

Vol 45 (54) ◽

pp. 1-1

Author(s):

Yunlu Jiang

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Regression Models ◽

Linear Regression Models ◽

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Variable Selection for Multiple Function-on-Function Linear Regression

Statistica Sinica ◽

10.5705/ss.202020.0473 ◽

2022 ◽

Author(s):

Xiong Cai ◽

Liugen Xue ◽

Jiguo Cao

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Multiple Function ◽

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Bayesian variable selection for linear regression in high dimensional microarray data

Proceedings of the 7th international workshop on Data and text mining in biomedical informatics - DTMBIO '13 ◽

10.1145/2512089.2512094 ◽

2013 ◽

Author(s):

Wellington Cabrera ◽

Carlos Ordonez ◽

David Sergio Matusevich ◽

Veerabhadran Baladandayuthapani

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Microarray Data ◽

Bayesian Variable Selection ◽

High Dimensional ◽

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Strong Consistency of Variable Selection for Stationary Linear Stochastic Systems

2019 Chinese Control Conference (CCC) ◽

10.23919/chicc.2019.8866312 ◽

2019 ◽

Author(s):

ZHAO Wenxiao ◽

YIN G. George ◽

BAI Er-Wei

Keyword(s):

Variable Selection ◽

Strong Consistency ◽

Stochastic Systems ◽

Linear Stochastic Systems ◽

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Variable selection for semiparametric random-effects conditional density models with longitudinal data

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2018.1554130 ◽

2018 ◽

Vol 49 (4) ◽

pp. 977-996

Author(s):

Xiaohui Yuan ◽

Yue Wang ◽

Tianqing Liu

Keyword(s):

Variable Selection ◽

Longitudinal Data ◽

Random Effects ◽

Conditional Density ◽

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Robust communication-efficient distributed composite quantile regression and variable selection for massive data

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2021.107262 ◽

2021 ◽

pp. 107262

Author(s):

Kangning Wang ◽

Shaomin Li ◽

Benle Zhang

Keyword(s):

Variable Selection ◽

Quantile Regression ◽

Massive Data ◽

Composite Quantile Regression ◽

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