2019
Unbiased Smoothing using Particle Independent Metropolis-Hastings
AISTATS 2019poster
We consider the approximation of expectations with respect to the distribution of a latent Markov process given noisy measurements. This is known as the smoothing problem and is often approached with particle and Markov chain Monte Carlo (MCMC) methods. These methods provide consistent but biased es…