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Nonparametric Bayesian inferencecontributions by Jean-Marie Rolin /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Nonparametric Bayesian inferenceedited by Jean-Pierre Florens, Michel Mouchart.
Reminder of title:	contributions by Jean-Marie Rolin /
other author:	Rolin, J. M.,
Published:	Cham :Springer Nature Switzerland :2024.
Description:	xiii, 376 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Bayesian statistical decision theory.
Online resource:	https://doi.org/10.1007/978-3-031-61329-6
ISBN:	9783031613296$q(electronic bk.)

Nonparametric Bayesian inferencecontributions by Jean-Marie Rolin /
Nonparametric Bayesian inferencecontributions by Jean-Marie Rolin /[electronic resource] :edited by Jean-Pierre Florens, Michel Mouchart. - Cham :Springer Nature Switzerland :2024. - xiii, 376 p. :ill., digital ;24 cm.

Chapter 1. On the a-Algebraic Realization Problem -- Chapter 2. Weak Conditional Independence And Relative Invariance in Bayesian Statistics -- Chapter 3. Some Useful Properties of the Dirichlet Process -- Chapter 4. On the Distribution of Jumps of the Dirichlet Process -- Chapter 5. Bayes, Bootstrap, Moments -- Chapter 6. Smooth vs. likelihood estimation for a class of mixtures of discrete distributions -- Chapter 7. Bayesian Encompassing Specification Tests of a Parametric Model against a Non Parametric Alternative -- Chapter 8. Nonparametric Bayesian Survival Analysis -- Chapter 9. Simulation of Posterior Distributions in Nonparametric Censored Analysis -- Chapter 10. Bayesian Identification of Semi-Parametric Binary Response Models -- Chapter 11. Survival Data with Explanatory Processes: A Full Nonparametric Bayesian Analysis -- Chapter 12. Nonparametric Competing Risks Models: Identification and Strong Consistency.

ISBN: 9783031613296$q(electronic bk.)

Standard No.: 10.1007/978-3-031-61329-6doiSubjects--Topical Terms:

182005
Bayesian statistical decision theory.

LC Class. No.: QA279.5

Dewey Class. No.: 519.542

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505 0 $a Chapter 1. On the a-Algebraic Realization Problem -- Chapter 2. Weak Conditional Independence And Relative Invariance in Bayesian Statistics -- Chapter 3. Some Useful Properties of the Dirichlet Process -- Chapter 4. On the Distribution of Jumps of the Dirichlet Process -- Chapter 5. Bayes, Bootstrap, Moments -- Chapter 6. Smooth vs. likelihood estimation for a class of mixtures of discrete distributions -- Chapter 7. Bayesian Encompassing Specification Tests of a Parametric Model against a Non Parametric Alternative -- Chapter 8. Nonparametric Bayesian Survival Analysis -- Chapter 9. Simulation of Posterior Distributions in Nonparametric Censored Analysis -- Chapter 10. Bayesian Identification of Semi-Parametric Binary Response Models -- Chapter 11. Survival Data with Explanatory Processes: A Full Nonparametric Bayesian Analysis -- Chapter 12. Nonparametric Competing Risks Models: Identification and Strong Consistency.
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