Bayesian variable selection for non‐Gaussian responses: a marginally calibrated copula approach-Reference-Cited by-同舟云学术

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Bayesian variable selection for non‐Gaussian responses: a marginally calibrated copula approach

Published:2020-09-02 Issue:3 Volume:77 Page:809-823
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Klein Nadja¹^ORCID,Smith Michael Stanley²^ORCID

Affiliation:

1. School of Business and Economics Humboldt‐Universität zu Berlin Berlin Germany

2. Melbourne Business School University of Melbourne Carlton Australia

Funder

Deutsche Forschungsgemeinschaft

Alexander von Humboldt-Stiftung

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13355

Reference39 articles.

1. Bayesian Spatiotemporal Modeling Using Hierarchical Spatial Priors, with Applications to Functional Magnetic Resonance Imaging (with Discussion)

2. Evolutionary stochastic search for Bayesian model exploration

3. Multivariate Bayesian variable selection and prediction

4. Nonparametric Bayes Conditional Distribution Modeling With Variable Selection

5. A Bayesian heteroscedastic GLM with application to fMRI data with motion spikes

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Distributional Regression for Data Analysis;Annual Review of Statistics and Its Application;2023-10-13

2. Implicit Copulas: An Overview;Econometrics and Statistics;2021-12

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