90 citations · 403 across the 37 of their papers we have counts for
4 papers · 1 filter
Bayesian model comparison in cosmology with Population Monte Carlo
Martin Kilbinger, Darren Wraith, Christian P. Robert +6
We use Bayesian model selection techniques to test extensions of the standard flat LambdaCDM paradigm. Dark-energy and curvature scenarios, and primordial perturbation models are c…
Limit theorems for some adaptive MCMC algorithms with subgeometric kernels: Part II
Yves F. Atchade, Gersende Fort
We prove a central limit theorem for a general class of adaptive Markov Chain Monte Carlo algorithms driven by sub-geometrically ergodic Markov kernels. We discuss in detail the sp…
Estimation of cosmological parameters using adaptive importance sampling
Darren Wraith, Martin Kilbinger, Karim Benabed +5
We present a Bayesian sampling algorithm called adaptive importance sampling or Population Monte Carlo (PMC), whose computational workload is easily parallelizable and thus has the…
State-dependent Foster-Lyapunov criteria for subgeometric convergence of Markov chains
Stephen B. Connor, Gersende Fort
We consider a form of state-dependent drift condition for a general Markov chain, whereby the chain subsampled at some deterministic time satisfies a geometric Foster-Lyapunov cond…