Issue no. 1 Table of Contents

Numéro spécial : analyse de mélanges

Bayesian calibration of a numerical code for prediction
p. 1-30
Special Issue: Mixture Analysis
Éditorial du numéro spécial sur l’analyse de mélanges
[Editorial of the Special Issue on Mixture Analysis]
p. 31-32
Special Issue: Mixture Analysis
Editorial of the Special Issue on Mixture Analysis
p. 34-35
Special Issue: Mixture Analysis
Exact integrated completed likelihood maximisation in a stochastic block transition model for dynamic networks
p. 35-56
Special Issue: Mixture Analysis
Regularized Maximum Likelihood Estimation and Feature Selection in Mixtures-of-Experts Models
p. 57-85
Special Issue: Mixture Analysis
Testing for univariate two-component Gaussian mixture in practice
p. 86-113
Special Issue: Mixture Analysis
Bootstrap Validation of the Estimated Parameters in Mixture Models Used for Clustering
p. 114-129
Special Issue: Mixture Analysis
A mixture model to characterize genomic alterations of tumors
p. 130-148

Issue no. 2 Table of Contents

Closed-form Bayesian inference of graphical model structures by averaging over trees
p. 1-23
Taking into account input uncertainties in the Bayesian calibration of time-consuming simulators
p. 24-46
Conditional inference in parametric models
p. 48-66
An extension of MLDA to Three-way Contingency Tables
p. 67-82
Cholesky and the Cholesky decomposition : a commemoration by an applied statistician
p. 83-96
Revue Bibliographique
Compte-rendu sur le livre « Les forêts aléatoires avec R » par Robin Genuer et Jean-Michel Poggi
[Book Review: “Les forêts aléatoires avec R” by Robin Genuer and Jean-Michel Poggi]
p. 97-98

Issue no. 3 Table of Contents

Minimal penalties and the slope heuristics: a survey

Minimal penalties and the slope heuristics: a survey
p. 1-106
Discussion
Can we trust L 2 -criteria and L 2 -losses?
p. 107-110
Discussion
On the significance of a linear relationship in density estimation with mixture models
p. 111
Discussion
Discussion: Concentration for ordered smoothers
p. 112-113
Discussion
Some thoughts about variable selection without information on the errors’ structure
p. 114-116
Discussion
When is the slope heuristic useful?
p. 117-118
Discussion
Discussion on “Minimal penalties and the slope heuristic: a survey” by Sylvain Arlot
p. 119-120
Discussion
Discussion of “Minimal penalties and the slope heuristics: a survey” by Sylvain Arlot
p. 121-125
Discussion
Discussion on “Minimal penalties and the slope heuristic: a survey” by Sylvain Arlot
p. 126-135
Discussion
A note on BIC and the slope heuristic
p. 136-139
Discussion
Discussion on “Minimal penalties and the slope heuristic: a survey” by Sylvain Arlot
p. 140-149
Discussion
Complex penalties and slope heuristics
p. 150-151
Discussion
Discussion of “Minimal penalties and the slope heuristics: a survey” by Sylvain Arlot
p. 152-153
Discussion
Discussion on “Minimal penalties and the slope heuristic: a survey” by Sylvain Arlot
p. 154-157
Rejoinder
Rejoinder on: Minimal penalties and the slope heuristics: a survey
p. 158-168