Visualization in Bayesian workflow-Reference-Cited by-同舟云学术

Visualization in Bayesian workflow

Published:2019-01-15 Issue:2 Volume:182 Page:389-402
ISSN:0964-1998
Container-title:Journal of the Royal Statistical Society: Series A (Statistics in Society)
language:en
Short-container-title:J. R. Stat. Soc. A

Author:

Gabry Jonah¹,Simpson Daniel²,Vehtari Aki³,Betancourt Michael¹⁴,Gelman Andrew¹

Affiliation:

1. Columbia University New York USA

2. University of Toronto Canada

3. Aalto University Espoo Finland

4. Symplectomorphic New York USA

Funder

Alfred P. Sloan Foundation

Columbia University

National Science Foundation

Institute of Education Sciences

Office of Naval Research

Defense Advanced Research Projects Agency

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/rssa.12378

Reference20 articles.

1. Betancourt M.(2017)A conceptual introduction to Hamiltonian Monte Carlo.Preprint arXiv:1701.02434. Columbia University New York.

2. Statistical inference for exploratory data analysis and model diagnostics

3. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013

4. Gabry J.(2017)bayesplot: plotting for Bayesian models.R Package Version 1.3.0. Columbia University New York. (Available fromhttp://mcstan.org/bayesplot.)

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