Author:
Brosse N.,Durmus A.,Meyn S.,Moulines E.,Samsonov S.
Reference42 articles.
1. Handbook of Markov Chain Monte Carlo, Ed. by S. Brooks, A. Gelman, G. L. Jones, and X.-L. Meng (CRC, Boca Raton, FL, 2011).
2. R. Assaraf and M. Caffarel, “Zero-variance principle for Monte Carlo algorithms,” Phys. Rev. Lett. 83 (23), 4682 (1999).
3. A. Mira, R. Solgi, and D. Imparato, “Zero variance Markov chain Monte Carlo for Bayesian estimators,” Stat. Comput. 23 (5), 653–662 (2013).
4. T. Papamarkou, A. Mira, and M. Girolami, “Zero variance differential geometric Markov chain Monte Carlo algorithms,” Bayesian Anal. 9 (1), 97–128 (2014).
5. R. Douc, É. Moulines, P. Priouret, and P. Soulier, Markov Chains (Springer, Cham, 2018).