References

References#

[Bet18]

Michael Betancourt. A conceptual introduction to Hamiltonian Monte Carlo. July 2018. doi:10.48550/arXiv.1701.02434.

[Fen25]

Chi Feng. The Markov-chain Monte Carlo interactive gallery. chi-feng/mcmc-demo, October 2025.

[GR92]

Andrew Gelman and Donald B. Rubin. Inference from iterative simulation using multiple sequences. Statistical Science, November 1992. doi:10.1214/ss/1177011136.

[VGS+21]

Aki Vehtari, Andrew Gelman, Daniel Simpson, Bob Carpenter, and Paul-Christian Bürkner. Rank-normalization, folding, and localization: an improved R̂ for assessing convergence of MCMC. Bayesian Analysis, 16(2):667–718, June 2021. doi:10.1214/20-BA1221.

[VTBD+09]

Jasper A. Vrugt, Cajo J. F. Ter Braak, Cees G. H. Diks, Bruce A. Robinson, James M. Hyman, and Dave Higdon. Accelerating Markov chain Monte Carlo simulation by differential evolution with self-adaptive randomized subspace sampling. International Journal of Nonlinear Sciences and Numerical Simulation, January 2009. doi:10.1515/IJNSNS.2009.10.3.273.