Browsing by Subject "Markov chain Monte Carlo"
Now showing items 1-3 of 3
-
(2020-05-21)Markov chain Monte Carlo (MCMC) sampling methods often do not scale well to large datasets, so there has been an increased interest in approximate Markov chain Monte Carlo (aMCMC) sampling methods. We propose two different ...
-
(2014-11-19)Markov chain Monte Carlo (MCMC) methods have proven to be a very powerful tool for analyzing data of complex structures. However, their compute-intensive nature, which typically require a large number of iterations and a ...
-
(2018-03-09)Bayesian statistical methods are known for their flexibility in modeling. This flexibility is possible because parameters can often be estimated via Markov chain Monte Carlo methods. In large datasets or models with many ...