8 citations · 10 across the 2 of their papers we have counts for
2 papers
stat.AP2010★ 8 cited
Semi-parametric dynamic time series modelling with applications to detecting neural dynamics
Fabio Rigat, Jim Q. Smith
This paper illustrates novel methods for nonstationary time series modeling along with their applications to selected problems in neuroscience. These methods are semi-parametric in…
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…