Classical model selection via simulated annealing
- Auteur
- BROOKS, S. P1 ; FRIEL, N2 ; KING, R1
[1] University of Cambridge, United Kingdom
[2] University of Glasgow, United Kingdom - Source
Journal of the Royal Statistical Society. Series B, statistical methodology. 2003, Vol 65, pp 503-520, 18 p ; 2 ; ref : 1 p.1/4
- ISSN
- 1369-7412
- Domaine scientifique
- Mathematics
- Editeur
- Blackwell, Oxford
- Pays de publication
- United Kingdom
- Type de document
- Article
- Langue
- English
- Mot clé auteur
- Autoregressive time series Capture-recapture Classical statistics Information criteria Logistic regression Markov chain Monte Carlo methods Optimization Reversible jump Markov chain Monte Carlo sampling Variable selection
- Mot clé (fr)
- Algorithme Analyse donnée Analyse statistique Analyse série temporelle Aspect philosophique Autocorrélation Autorégression Capture Chaîne Markov Critère information Akaike Echantillonnage Enseignement Estimation statistique Fonction vraisemblance Implémentation Loi grand nombre Modèle régression Méthode Monte Carlo Méthode paramétrique Méthode pénalité Méthode statistique Optimisation Problème sélection Processus autorégressif Processus stochastique Rapport vraisemblance Recuit simulé Régression logistique Régression statistique Simulation statistique Statistique rang Série temporelle Test rapport vraisemblance Théorie statistique 62-07 62A01 62F07 62Jxx 62M10 Critère information Estimation paramétrique Méthode sélection Sélection modèle Vraisemblance par paires
- Mot clé (en)
- Algorithm Data analysis Statistical analysis Time series analysis Philosophical aspect Autocorrelation Autoregression Capture Markov chain Akaike information criterion Sampling Teaching Statistical estimation Likelihood function Implementation Law of large numbers Regression model Monte Carlo method Parametric method Penalty method Statistical method Optimization Selection problem Autoregressive processes Stochastic process Likelihood ratio Simulated annealing Logistic regression Statistical regression Statistical simulation Rank statistic Time series Likelihood ratio test Statistical theory Information criterion Selection method Model selection Pairwise likelihood
- Mot clé (es)
- Algoritmo Análisis datos Análisis estadístico Aspecto filosófico Autocorrelación Autoregresión Captura Cadena Markov Criterio información Akaike Muestreo Enseñanza Estimación estadística Función verosimilitud Ejecución Ley gran número Modelo regresión Método Monte Carlo Método paramétrico Método penalidad Método estadístico Optimización Problema selección Proceso estocástico Relación verosimilitud Recocido simulado Regresión logística Regresión estadística Simulación estadística Estadística rango Serie temporal Test razón verosimilitud Teoría estadística
- Classification
- Pascal
- 001 Sciences exactes et technologie / 001A Sciences et techniques communes / 001A02 Mathematiques / 001A02H Probabilités et statistiques / 001A02H02 Statistiques / 001A02H02B Bases mathématiques
- Pascal
- 001 Sciences exactes et technologie / 001A Sciences et techniques communes / 001A02 Mathematiques / 001A02H Probabilités et statistiques / 001A02H02 Statistiques / 001A02H02G Inférence paramétrique
- Pascal
- 001 Sciences exactes et technologie / 001A Sciences et techniques communes / 001A02 Mathematiques / 001A02H Probabilités et statistiques / 001A02H02 Statistiques / 001A02H02J Inférence linéaire, régression
- Pascal
- 001 Sciences exactes et technologie / 001A Sciences et techniques communes / 001A02 Mathematiques / 001A02H Probabilités et statistiques / 001A02H02 Statistiques / 001A02H02M Inférence à partir de processus stochastiques; analyse des séries temporelles
- Discipline
- Mathematics
- Provenance
- Inist-CNRS
- Base de données
- PASCAL
- Identifiant INIST
- 14797878
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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DOI
10.1111/1467-9868.00399 
https://dx.doi.org/10.1111/1467-9868.00399
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