20 citations · 70 across the 24 of their papers we have counts for
3 papers · 1 filter
Scalable Monte Carlo inference for state-space models
Sinan Yıldırım, Christophe Andrieu, Arnaud Doucet
We present an original simulation-based method to estimate likelihood ratios efficiently for general state-space models. Our method relies on a novel use of the conditional Sequent…
Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors
Ertunc Erdil, Sinan Yildirim, Tolga Tasdizen +1
In this paper, we propose an efficient pseudo-marginal Markov chain Monte Carlo (MCMC) sampling approach to draw samples from posterior shape distributions for image segmentation.…
On the utility of Metropolis-Hastings with asymmetric acceptance ratio
Christophe Andrieu, Arnaud Doucet, Sinan Yıldırım +1
The Metropolis-Hastings algorithm allows one to sample asymptotically from any probability distribution . There has been recently much work devoted to the development of variant…