MCMC

​Robert and Casella (2013) provides the following definition:

For illustration, you can visit the jupyter notebook on MCMC_example​

Working principle: For an arbitrary starting value $x^{(0)}$, a chain $X^{(t)}$ is generated using a transition kernel with stationary distribution $f$, which ensures the convergence in distribution of $X^{(t)}$ to a random variable from $f$.

Some good materials about MCMC.

1. ​https://cosx.org/2013/01/lda-math-mcmc-and-gibbs-sampling​