Acceleration of the stochastic search variable selection via componentwise Gibbs sampling

Hengzhen Huang; Shuang-Shuang Zhou; Min‐Qian Liu; Zongfeng Qi

doi:10.1007/s00184-016-0604-x

ScienceGate Book Chapters

JOURNAL ARTICLE

Acceleration of the stochastic search variable selection via componentwise Gibbs sampling

Hengzhen Huang Shuang-Shuang Zhou Min‐Qian Liu Zongfeng Qi

Year: 2016 Journal: Metrika Vol: 80 (3)Pages: 289-308 Publisher: Springer Science+Business Media

DOI: 10.1007/s00184-016-0604-x

Get Full-Text PDF Get Analytical Report

Keywords:

Mathematics Gibbs sampling Acceleration Selection (genetic algorithm) Sampling (signal processing) Feature selection Statistics Applied mathematics Artificial intelligence Computer science Bayesian probability Classical mechanics

Metrics

Cited By

0.56

FWCI (Field Weighted Citation Impact)

Refs

0.87

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Optimal Experimental Design Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Acceleration of the stochastic search variable selection via componentwise Gibbs sampling

Metrics

Citation History

Topics

Related Documents

Variable Selection Via Gibbs Sampling

Variable Selection via Gibbs Sampling

Stochastic search variable selection

Variable selection in quantile regression via Gibbs sampling

Bayesian Variable Selections for Probit Models with Componentwise Gibbs Samplers