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Prior elicitation, variable selection and Bayesian computation for logistic regression models

Author
CHEN, M.-H1 ; IBRAHIM, J. G2 ; YIANNOUTSOS, C3
[1] Worcester Polytechnic Institute, United States
[2] Harvard School of Public Health and Dana-Farber Cancer Institute, Boston, United States
[3] Harvard School of Public Health, Boston, United States
Source

Journal of the Royal Statistical Society. Series B. Methodological. 1999, Vol 61, Num 1, pp 223-242 ; ref : 1 p.1/4

CODEN
JSTBAJ
ISSN
0035-9246
Scientific domain
Mathematics
Publisher
Royal Statistical Society, London
Publication country
United Kingdom
Document type
Article
Language
English
Keyword (fr)
Algorithme Echantillonnage Gibbs Estimation Bayes Loi a priori Loi marginale Probabilité a posteriori Problème sélection Régression logistique Régression statistique
Keyword (en)
Algorithm Gibbs sampling Bayes estimation Prior distribution Marginal distribution Posterior probability Selection problem Logistic regression Statistical regression
Keyword (es)
Algoritmo Muestreo Gibbs Estimación Bayes Ley a priori Ley marginal Probabilidad a posteriori Problema selección Regresión logística Regresión estadística
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02G Parametric inference

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02J Linear inference, regression

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02M Inference from stochastic processes; time series analysis

Discipline
Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
1226270

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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