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Nonparametric Bayesian inference = contributions by Jean-Marie Rolin /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Nonparametric Bayesian inference/ edited by Jean-Pierre Florens, Michel Mouchart.
Reminder of title:	contributions by Jean-Marie Rolin /
other author:	Mouchart, Michel.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xiii, 376 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Bayesian Network. -
Online resource:	https://doi.org/10.1007/978-3-031-61329-6
ISBN:	9783031613296

Nonparametric Bayesian inference = contributions 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

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

998410
Bayesian Network.

LC Class. No.: QA279.5

Dewey Class. No.: 519.542

Nonparametric Bayesian inference = contributions by Jean-Marie Rolin /
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245 0 0 $a Nonparametric Bayesian inference $h [electronic resource] : $b contributions by Jean-Marie Rolin / $c edited by Jean-Pierre Florens, Michel Mouchart.
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300 $a xiii, 376 p. : $b ill., digital ; $c 24 cm.
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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650 2 4 $a Bayesian Inference. $3 1211345
650 1 4 $a Statistics. $3 556824
650 0 $a Bayesian statistical decision theory. $3 527671
700 1 $a Mouchart, Michel. $3 1462167
700 1 $a Florens, J. P. $3 567502
700 1 $a Rolin, J. M., $e contributor. $3 1462166
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