4 citations · 5 across the 3 of their papers we have counts for
3 papers
Multivariate Geometric Anisotropic Cox Processes
James S. Martin, David J. Murrell, Sofia C. Olhede
This paper introduces a new modelling framework for multivariate anisotropic Cox processes. Building on recent innovations in multivariate spatial statistics, we propose a new fami…
Approximate Bayesian Computation for Smoothing
James S. Martin, Ajay Jasra, Sumeetpal S. Singh +2
We consider a method for approximate inference in hidden Markov models (HMMs). The method circumvents the need to evaluate conditional densities of observations given the hidden st…
Inference for a Class of Partially Observed Point Process Models
James S. Martin, Ajay Jasra, Emma McCoy
This paper presents a simulation-based framework for sequential inference from partially and discretely observed point process (PP's) models with static parameters. Taking on a Bay…