Nicolas, G.G. (2015) MCMC Methods: Improvement of a Regional Adaptation Algorithm and Applications to Climatology. University of Montreal, Montreal.
https://dms.umontreal.ca/~bedard/GrenonG_rapport_final.pdf

has been cited by the following article:

• TITLE: Evaluation of the Reliability of a System: Approach by Monte Carlo Simulation and Application

  AUTHORS: Aslain Brisco Ngnassi Djami, Jean Bosco Samon, Boukar Ousman, Ulrich Ngnassi Nguelcheu, Wolfgang Nzié, Guy Edgar Ntamack, Bienvenu Kenmeugne

  KEYWORDS: Evaluation, Reliability, Monte Carlo, Markov Chain

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.14 No.3, March 29, 2024

  ABSTRACT: The objective of this paper is to evaluate the reliability of a system in its different states (absence of failures, partial failure and total failure) and to propose actions to improve this reliability by an approach based on Monte Carlo simulation. It consists of a probabilistic evaluation based on Markov Chains. In order to achieve this goal, the functionalities of Markov Chains and Monte Carlo simulation steps are deployed. The application is made on a production system.