Quasi-Monte Carlo sampling to improve the efficiency of Monte Carlo EM
- Author
- JANK, Wolfgang1
[1] Department of Decision and Information Technologies, The Robert H. Smith School of Business, University of Maryland, 4322 Van Munching Hall, College Park 20742, United States - Source
Computational statistics & data analysis. 2005, Vol 48, Num 4, pp 685-701, 17 p ; ref : 1 p.1/4
- ISSN
- 0167-9473
- Scientific domain
- Mathematics
- Publisher
- Elsevier Science, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Keyword (fr)
- Algorithme EM Algorithme déterministe Analyse donnée Calcul statistique Echantillonnage aléatoire Erreur approximation Estimation erreur Géostatistique Maximisation 62E17 62F03 65C05 Méthode quasi Monte Carlo Séquence Halton
- Keyword (en)
- EM algorithm Deterministic algorithms Data analysis Statistical computation Random sampling Approximation error Error estimation Geostatistics Maximization Quasi Monte Carlo method Halton sequence
- Keyword (es)
- Algoritmo EM Análisis datos Cálculo estadístico Muestreo aleatorio Error aproximación Estimación error Geoestadística Maximización
- Classification
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02F Distribution theory
- Discipline
- Mathematics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 16443542
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
10.1016/j.csda.2004.03.019 
https://dx.doi.org/10.1016/j.csda.2004.03.019
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