Fundamentals of Nonparametric Bayesian Inference

Subhashis Ghosal

ISBN 10: 0521878268 / ISBN 13: 9780521878265

Editore: Cambridge University Press, 2017

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Druck auf Anfrage Neuware - Printed after ordering - Bayesian nonparametrics comes of age with this landmark text synthesizing theory, methodology and computation.

Codice articolo 9780521878265

Dati bibliografici

• Titolo: Fundamentals of Nonparametric Bayesian Inference
• Editore: Cambridge University Press
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 0521878268
• ISBN 13: 9780521878265
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 260 L x 183 A x 40 P (millimetri) 260 millimetri di larghezza per 183 millimetri di altezza per 40 millimetri di profondità
• Peso: 1438 grammi

Descrizione articolo

Riassunto

Bayesian nonparametrics comes of age with this landmark text synthesizing theory, methodology and computation.

Informazioni sugli autori

Subhashis Ghosal is Professor of Statistics at North Carolina State University. His primary research interest is in the theory, methodology and various applications of Bayesian nonparametrics. He has edited one book, written nearly one hundred papers, and serves on the editorial boards of the Annals of Statistics, Bernoulli, and the Electronic Journal of Statistics. He is an elected fellow of the Institute of Mathematical Statistics, the American Statistical Association and the International Society for Bayesian Analysis.

Aad van der Vaart is Professor of Stochastics at Universiteit Leiden. He is the author of several books and lecture notes in topics ranging from asymptotic statistics to genetics and finance, and many research papers in statistics and its applications. He is a member of the Royal Netherlands Academy of Arts and Sciences, former president of Netherlands Statistical Society, and a recipient of the Spinoza Prize of the Netherlands Organisation of Scientific Research.