Journal de la société française de statistique

Collection description

Description
  • Journal de la société française de statistique
Identifier

10670/2.zs7oye

ISSN
Organization

Cellule Mathdoc

Discipline

Law (2586) Economies and finances (756) History (700) Demography (429) Sociology (359) Management (357) Methods and statistics (345) Geography (255) Linguistics (250) Philosophy (227) Environmental studies (225) Archaeology and Prehistory (173) Political science (171) Communication sciences (153) History, Philosophy and Sociology of Sciences (110) Literature (105) Psychology (104) Education (95) Cultural heritage and museology (76) Art and art history (69) Social Anthropology and ethnology (53) Biological anthropology (52) Architecture, space management (51) Religions (28) Gender studies (26) Musicology and performing arts (25) Classical studies (14)

Type

Articles (6176)

Authors

Date

6176 documents
Discussion: Concentration for ordered smoothers
Pierre Bellec (2019)
Discussion on “Minimal penalties and the slope heuristic: a survey” by Sylvain Arlot
Adrien Saumard (2019)
Can we trust $L_{2}$-criteria and $L_{2}$-losses?
Yannick Baraud (2019)
Discussion on “Minimal penalties and the slope heuristic: a survey” by Sylvain Arlot
Émilie Devijver (2019)
Discussion on “Minimal penalties and the slope heuristic: a survey” by Sylvain Arlot
Servane Gey (2019)
A mixture model to characterize genomic alterations of tumors
Christine Keribin et al. (2019)
A note on BIC and the slope heuristic
Christine Keribin (2019)
Closed-form Bayesian inference of graphical model structures by averaging over trees
Loïc Schwaller et al. (2019)
Éditorial du numéro spécial sur l’analyse de mélanges
Gilles Celeux (2019)
Some thoughts about variable selection without information on the errors’ structure
Lucien Birgé (2019)
Testing for univariate two-component Gaussian mixture in practice
Didier Chauveau et al. (2019)
Complex penalties and slope heuristics
Bertrand Michel (2019)
Regularized Maximum Likelihood Estimation and Feature Selection in Mixtures-of-Experts Models
Faicel Chamroukhi et al. (2019)
Exact integrated completed likelihood maximisation in a stochastic block transition model for dynamic networks
Riccardo Rastelli (2019)
Cholesky and the Cholesky decomposition : a commemoration by an applied statistician
Antoine de Falguerolles (2019)
Taking into account input uncertainties in the Bayesian calibration of time-consuming simulators
Guillaume Perrin et al. (2019)
Bayesian calibration of a numerical code for prediction
Mathieu Carmassi et al. (2019)
Conditional inference in parametric models
Michel Broniatowski et al. (2019)
Discussion of “Minimal penalties and the slope heuristics: a survey” by Sylvain Arlot
Sylvain Sardy (2019)
Discussion on “Minimal penalties and the slope heuristic: a survey” by Sylvain Arlot
Émilie Lebarbier (2019)
Rejoinder on: Minimal penalties and the slope heuristics: a survey
Sylvain Arlot (2019)
Editorial of the Special Issue on Mixture Analysis
Gilles Celeux (2019)
Bootstrap Validation of the Estimated Parameters in Mixture Models Used for Clustering
Zhivko Taushanov et al. (2019)
An extension of MLDA to Three-way Contingency Tables
Philippe Casin (2019)
When is the slope heuristic useful?
Gilles Celeux (2019)

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