Every week, we select a recently published Open Access article to feature. This week’s article is from Canadian Journal of Statistics and looks at the latest developments and trajectories in Bayesian inference and Markov chain Monte Carlo methods of statistical research. 

The article’s abstract is given below, with the full article available to read here. 

Craiu, R.V., Gustafson, P. and Rosenthal, J.S. (2022), Reflections on Bayesian inference and Markov chain Monte Carlo. Can J Statistics. https://doi.org/10.1002/cjs.11707

Bayesian inference and Markov chain Monte Carlo methods are vigorous areas of statistical research. Here we reflect on some recent developments and future directions in these fields.