Explicit error bounds for Markov chain Monte Carlo

Understand

We prove explicit, i.e.

• non-asymptotic, error bounds for Markov chain Monte Carlo methods.
• The problem is to compute the expectation of a function f with respect to a measure {\pi}.
• Different convergence properties of Markov chains imply different error bounds.