Statistics Based on Dirichlet Processes and Related Topics, Paperback by Yama...

$ 33.41

Language: English width: 6.1 in Item Weight: 16 Oz ISBN: 9789811569746 Publication Name: Statistics Based on Dirichlet Processes and Related Topics Series: Springerbriefs in Statistics Ser. Format: Trade Paperback Publisher: Springer Author: Hajime Yamato Item Length: 9.2 in Publication Year: 2020 Type: Textbook Book Title: Statistics Based on Dirichlet Processes and Related Topics Number of Pages: 74 Pages Subject Area: Mathematics Item Width: 6.1 in Subject: Probability & Statistics / General

Description

Statistics Based on Dirichlet Processes and Related Topics, Paperback by Yama.... It presents the limits and the well-known U- and V-statistics as a convex combination of U-statistics, and by investigating this convex combination, it demonstrates these three statistics. Statistics Based on Dirichlet Processes and Related Topics, Paperback by Yamato, Hajime, ISBN 9811569746, ISBN-13 9789811569746, Like New Used, Free shipping in the US This book focuses on the properties associated with the Dirichlet process, describing its use a priori for nonparametric inference and the Bayes estimate to obtain limits for the estimable parameter. It presents the limits and the well-known U- and V-statistics as a convex combination of U-statistics, and by investigating this convex combination, it demonstrates these three statistics. Next, th notes that the Dirichlet process gives the discrete distribution with probability one, even if the parameter of the process is continuous. Therefore, there are duplications among the sample from the distribution, which are discussed. Because sampling from the Dirichlet process is described sequentially, it can be described equivalently by the Chinese restaurant process. Using this process, the Donnelly–Tavaré–Griffiths formulas I and II are obtained, both of which give the Ewens’ sampling formula. Th then shows the convergence and approximation of the distribution for its number of distinct components. Lastly, it explains the interesting properties of the Griffiths–Engen–McCloskey distribution, which is related to the Dirichlet process and the Ewens’ sampling formula.