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Predictive specification of prior model probabilities in variable selection

Author
LAUD, P. W1 ; IBRAHIM, J. G
[1] Division of Biostatistics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, United States
Source

Biometrika. 1996, Vol 83, Num 2, pp 267-274 ; ref : 14 ref

CODEN
BIOKAX
ISSN
0006-3444
Scientific domain
General biology; Mathematics
Publisher
Oxford University Press, Oxford
Publication country
United Kingdom
Document type
Article
Language
English
Keyword (fr)
Coefficient régression Estimation Bayes Estimation paramètre Loi a priori Modèle linéaire Probabilité a priori Prédiction Régression linéaire Spécification Sélection Test hypothèse Analyse Bayes Expérience imaginaire Facteur Bayes local Prédiction a priori Spécification prédictive Sélection variable
Keyword (en)
Regression coefficient Bayes estimation Parameter estimation Prior distribution Linear model Prior probability Prediction Linear regression Specification Selection Hypothesis test Bayes analysis
Keyword (es)
Coeficiente regresión Estimación Bayes Estimación parámetro Ley a priori Modelo lineal Probabilidad a priori Predicción Regresión lineal Especificación Selección Test hipótesis Análisis Bayes
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

Discipline
Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
3123895

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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