We derive the first explicit bounds for the spectral gap of a random wal...
We develop a theory of weak Poincaré inequalities to characterize
conver...
We investigate the use of a certain class of functional inequalities kno...
Markov Chain Monte Carlo (MCMC) is a class of algorithms to sample compl...
Since its inception the Metropolis-Hastings kernel has been applied in
s...
Markov chain Monte Carlo (MCMC) methods to sample from a probability
dis...
We extend the hypocoercivity framework for piecewise-deterministic Marko...
Historically time-reversibility of the transitions or processes underpin...
We present an original simulation-based method to estimate likelihood ra...
In this work, we establish L^2-exponential convergence for a broad
class...
In this paper we derive spectral gap estimates for several Piecewise
Det...
The Metropolis-Hastings algorithm allows one to sample asymptotically fr...
A Kernel Adaptive Metropolis-Hastings algorithm is introduced, for the
p...
We propose a novel reversible jump Markov chain Monte Carlo (MCMC) simul...