76 citations · 156 across the 8 of their papers we have counts for
Showing 2015Show all
3 papers · 1 filter
stat.CO2015★ 52 cited
Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation
Nicolas Chopin, James Ridgway
Abstract. Whenever a new approach to perform Bayesian computation is introduced, a common practice is to showcase this approach on a binary regression model and datasets of moderat…
stat.ML2015★ 76 cited
On the properties of variational approximations of Gibbs posteriors
Pierre Alquier, James Ridgway, Nicolas Chopin
The PAC-Bayesian approach is a powerful set of techniques to derive non- asymptotic risk bounds for random estimators. The corresponding optimal distribution of estimators, usually…
stat.CO2015★ 3 cited
Towards automatic calibration of the number of state particles within the SMC algorithm
Nicolas Chopin, James Ridgway, Mathieu Gerber +1
SMC is an efficient algorithm for sequential estimation and state inference of state-space models. It generates parameter particles , and, for each , it run…