Mixtures : estimation and applications /
This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data set. The parameters describe the component distributions of the mixture; the distributions may be continuous or discrete. The editors provide a compl...
Cote: | Libro Electrónico |
---|---|
Autres auteurs: | Mengersen, Kerrie L., Robert, Christian P., 1961-, Titterington, D. M. |
Format: | Électronique eBook |
Langue: | Inglés |
Publié: |
Hoboken, N.J. :
Wiley,
2011.
|
Sujets: | |
Accès en ligne: | Texto completo |
Documents similaires
-
Handbook of Mixture Analysis
par: Moreira, Olga
Publié: (2020) -
Advances in latent variable mixture models /
Publié: (2008) -
Gibbs measures on Cayley trees /
par: Rozikov, Utkir A., 1970-
Publié: (2013) -
Gibbs measures on Cayley trees /
par: Rozikov, Utkir A., 1970-
Publié: (2013) -
An introduction to Stein's method /
Publié: (2005)