Chapter 15 Bayesian Methods

15.0.1 Theory and methods

Bayesian statistics: Wikipedia page

Andrew Gelman et al., Bayesian Data Analysis (third edition) (Andrew Gelman and Rubin 2014).

Robert Grant (2018-08-07) How (not) to introduce newcomers to Bayesian analysis

15.0.1.1 R-based

Richard McElreath, 2016, Statistical Rethinking: A Bayesian Course with Examples in R and Stan (McElreath 2016).

Jim Albert, Bayesian Computation with R (Albert 2009)

David Robinson, Introduction to Empirical Bayes

Daniel Lüdecke, 2018-06-06, R functions for Bayesian Model Statistics and Summaries

Rasmus Bååth (2019-07-15) Get up to speed with Bayesian data analysis in R, from UseR2019

15.0.1.2 other

Tarek Amr, “Experimenting the Bayesian way”; summary of Bayesian approach with Python examples (2018-07-18)

15.0.2 R

Arranged by package

15.0.2.3 {rjags}

package

CRAN page: rjags: Bayesian Graphical Models using MCMC

articles

Alicia Johnson: [Bayesian modeling with {rjags}] {link to DataCamp course removed}

References

Albert, Jim. 2009. Bayesian Computation with R (Second Edition). Springer.

Andrew Gelman, Hal S. Stern, John B. Carlin, and Donald B. Rubin. 2014. Bayesian Data Analysis (Third Edition). CRC Press.

McElreath, Richard. 2016. Statistical Rethinking: A Bayesian Course with Examples in R and Stan. CRC Press.