CREST Working Papers Series No. 2017-42
by Olga Klopp and Nicolas Verzelen
Constructing confidence sets for the matrix completion problem
CREST Working Papers Series No. 2017-41
by Alexandra Carpentier, Olga Klopp and Matthias Löffler
Informed Sub-Sampling MCMC: Approximate Bayesian Inference for Large Datasets
CREST Working Papers Series No. 2017-40
by Florian Maire, Nial Friel and Pierre Alquier
Concentration of tempered posteriors and of their variational approximations
CREST Working Papers Series No. 2017-39
by Pierre Alquier and James Ridgway
Simultaneous Dimension Reduction and Clustering via the NMF-EM Algorithm
CREST Working Papers Series No. 2017-38
by Léna Carel and Pierre Alquier
Improving approximate Bayesian computation via quasi Monte Carlo
CREST Working Papers Series No. 2017-37
by Alexander Buchholz and Nicolas Chopin
Negative association, ordering and convergence of resampling methods
CREST Working Papers Series No. 2017-36
by Mathieu Gerber, Nicolas Chopin and Nick Whiteley
Sequential quasi-Monte Carlo: Introduction for Non-Experts, Dimension Reduction, Application to Partly Observed Diffusion Processes
CREST Working Papers Series No. 2017-35
by Nicolas Chopin and Mathieu Gerber
Modelling dependency completion in sentence comprehension as a Bayesian hierarchical mixture process: A case study involving Chinese relative clauses
CREST Working Papers Series No. 2017-34
by Shravan Vasishth, Nicolas Chopin, Robin Ryder and Bruno Nicenboim
Bayesian Hierarchical Finite Mixture Models of Reading Times: A Case Study
CREST Working Papers Series No. 2017-33
by Shravan Vasishth, Bruno Nicenboim, Nicolas Chopin and Robin Ryder