A comparative study on high-dimensional bayesian regression with binary predictors-Reference-Cited by-同舟云学术

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A comparative study on high-dimensional bayesian regression with binary predictors

Published:2021-03-16 Issue: Volume: Page:1-21
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Slanzi Debora¹²^ORCID,Mameli Valentina³,Brown Philip J.⁴

Affiliation:

1. Department of Management, Ca’ Foscari University of Venice, Venice, Italy

2. European Centre for Living Technology, Venice, Italy

3. Department of Economics and Statistics, University of Udine, Udine, Italy

4. School of Mathematics, Statistics and Actuarial Science, University of Kent, Canterbury, United Kingdom

Funder

GlaxoSmithKline Medicines Research Centre

GlaxoSmithKline Medicines Research Center

Publisher

Informa UK Limited

Subject

Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2021.1894337

Reference56 articles.

1. A review of recent variable selection methods in industrial and chemometrics applications

2. Bhadra, A., J. Datta, Y. Li, and N.G. Polson. 2019. Horseshoe Regularization for Machine Learning in Complex and Deep Models. arXiv e-prints. 2019 Apr;arXiv:1904.10939v1.

3. Designing Lead Optimisation of MMP-12 Inhibitors

4. Bayes model averaging with selection of regressors

5. Statistics for High-Dimensional Data

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