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Nonparametric Bayesian Inference

Nonparametric Bayesian Inference: Contributions by Jean-Marie Rolin

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Nonparametric Bayesian Inference: Contributions by Jean-Marie Rolin

Florens, Jean-Pierre; Mouchart, Michel

This book is a compilation of unpublished papers written by Jean-Marie Rolin (with several co-authors) on nonparametric bayesian estimation. Jean-Marie was professor of statistics at University of Louvain and died on November 5th, 2018. He made important contributions in mathematical statistics with applications to different fields like econometrics or biometrics.These papers cover a variety of topics, including:

• The Mathematical structure of the Bayesian model and the main concepts (sufficiency, ancillarity, invariance…)

• Representation of the Dirichlet processes and of the associated Polya urn model and applications to nonparametric bayesian analysis.

• Contributions to duration models and to their non parametric bayesian treatment.

Details

Published by: Springer

Publication Date: 2024-10-22

Format: Hardcover

ISBN-13: 9783031613289

DOI: 10.1007/978-3-031-61329-6

Dimensions: 235cm x155cm

Pages: 376

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