most citedSemi-parametric dynamic time series modelling with applications to detecting neural dynamics

8 citations · 10 across the 2 of their papers we have counts for

collaborators
Showing stat.COShow all

1 paper · 1 filter

stat.CO2008★ 2 cited

Parallel hierarchical sampling: a practical multiple-chains sampler for Bayesian model selection

Fabio Rigat

This paper introduces the parallel hierarchical sampler (PHS), a Markov chain Monte Carlo algorithm using several chains simultaneously. The connections between PHS and the paralle…