2 papers
stat.ME2023
Particle Gibbs for Likelihood-Free Inference of State Space Models with Application to Stochastic Volatility
Zhaoran Hou, Samuel W. K. Wong
State space models (SSMs) are widely used to describe dynamic systems. However, when the likelihood of the observations is intractable, parameter inference for SSMs cannot be easil…
stat.ME2022
Estimating Boltzmann Averages for Protein Structural Quantities Using Sequential Monte Carlo
Zhaoran Hou, Samuel W. K. Wong
Sequential Monte Carlo (SMC) methods are widely used to draw samples from intractable target distributions. Particle degeneracy can hinder the use of SMC when the target distributi…