Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845423625 ISBN 13: 9783845423623
Librería: Mispah books, Redhill, SURRE, Reino Unido
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Añadir al carritoPaperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jul 2011, 2011
ISBN 10: 3845423625 ISBN 13: 9783845423623
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Multivariate mixture models provide a convenient method of density estimation and model based clustering as well as providing possible explanations for the actual data generation process. But the problem of choosing the number of components in a statistically meaningful way is still a subject of considerable research. Available methods for estimation include, optimizing AIC and BIC, estimating the number through nonparametric maximum likelihood, hypothesis testing and Bayesian approaches with entropy distances. In our book we present several rules for selecting a finite mixture model, based on estimation and inference using a quadratic distance measure. In this book we also develop tools for determining the number of modes in a mixture of multivariate normal densities. We use these criterion to select clusters which display distinct modes. Finally we fine tune our methods to analyze gene-expression data from micro-arrays, and compare them with other competitive methods. 184 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845423625 ISBN 13: 9783845423623
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ray SurajitSurajit Ray is an assistant professor of Statistics in the Department of Mathematics and Statistics at Boston University. His research interests are in the area of statistical model selection, the theory and geometry of mi.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845423625 ISBN 13: 9783845423623
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Multivariate mixture models provide a convenient method of density estimation and model based clustering as well as providing possible explanations for the actual data generation process. But the problem of choosing the number of components in a statistically meaningful way is still a subject of considerable research. Available methods for estimation include, optimizing AIC and BIC, estimating the number through nonparametric maximum likelihood, hypothesis testing and Bayesian approaches with entropy distances. In our book we present several rules for selecting a finite mixture model, based on estimation and inference using a quadratic distance measure. In this book we also develop tools for determining the number of modes in a mixture of multivariate normal densities. We use these criterion to select clusters which display distinct modes. Finally we fine tune our methods to analyze gene-expression data from micro-arrays, and compare them with other competitive methods.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jul 2011, 2011
ISBN 10: 3845423625 ISBN 13: 9783845423623
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 59,00
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Multivariate mixture models provide a convenient method of density estimation and model based clustering as well as providing possible explanations for the actual data generationprocess. But the problem of choosing the number of components in a statistically meaningful way isstill a subject of considerable research. Available methods for estimationinclude, optimizing AIC and BIC, estimating the number through nonparametric maximum likelihood, hypothesis testing and Bayesian approaches with entropy distances. In our book we present several rules for selecting afinite mixture model, based on estimation and inference using a quadratic distance measure.In this book we also develop tools for determining the number of modes in a mixture of multivariate normal densities. We use these criterion to select clusters which display distinct modes. Finally we fine tune our methods to analyze gene-expression data from micro-arrays, and compare them with other competitive methods.Books on Demand GmbH, Überseering 33, 22297 Hamburg 184 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845423625 ISBN 13: 9783845423623
Librería: preigu, Osnabrück, Alemania
EUR 50,35
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Añadir al carritoTaschenbuch. Condición: Neu. Clustering, Cluster Inference and Applications in Clustering | Applications to the Analysis of Gene Expression Data | Surajit Ray | Taschenbuch | 184 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845423623 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand.