7 citations · 13 across the 9 of their papers we have counts for
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stat.CO2015★ 2 cited
Markov Interacting Importance Samplers
Eduardo F. Mendes, Marcel Scharth, Robert Kohn
We introduce a new Markov chain Monte Carlo (MCMC) sampler called the Markov Interacting Importance Sampler (MIIS). The MIIS sampler uses conditional importance sampling (IS) appro…
stat.CO2014
A flexible Particle Markov chain Monte Carlo method
Eduardo F. Mendes, Christopher K. Carter, David Gunawan +1
Particle Markov Chain Monte Carlo methods are used to carry out inference in non-linear and non-Gaussian state space models, where the posterior density of the states is approximat…