Statistics for astrophysics : Bayesian methodology / Didier Fraix-Burnet [and 3 others], editors.

Format:

Book

Conference/Event

Author/Creator:

Marquette, Jean-Baptiste, Author.

Contributor:

Fraix-Burnet, Didier, editor.

Conference Name:

Statistics for Astrophysics (Conference) (2013 : Annecy, France)

Series:

EDP Sciences Proceedings

EDP sciences proceedings

Language:

English

Subjects (All):

Bayesian statistical decision theory.

Physical Description:

1 online resource (140 pages).

Edition:

1st ed.

Place of Publication:

[Place of publication not identified] : EDP Sciences, [2018]

Summary:

This book includes the lectures given during the third session of the School of Statistics for Astrophysics that took place at Autrans, near Grenoble, in France, in October 2017. The subject is Bayesian Methodology. The interest of this statistical approach in astrophysics probably comes from its necessity and its success in determining the cosmological parameters from observations, especially from the cosmic background luctuations. The cosmological community has thus been very active in this field for many years. But the Bayesian methodology, complementary to the more classical frequentist one, has many applications in physics in general due to its ability to incorporate a priori knowledge into inference, such as uncertainty brought by the observational processes. The Bayesian approach becomes more and more widespread in the astrophysical literature. This book contains statistics courses on basic to advanced methods with practical exercises using the R environment, by leading experts in their field. This covers the foundations of Bayesian inference, Markov chain Monte Carlo technique, model building, Approximate Bayesian Computation (ABC) and Bayesian nonparametric inference and clustering.

Contents:

Frontmatter

Organisers

Lecturers

Acknowledgments

Table of Contents

Foreword

BAYESIAN STATISTICAL METHODS FOR ASTRONOMY PART I: FOUNDATIONS

BAYESIAN STATISTICAL METHODS FOR ASTRONOMY PART II: MARKOV CHAIN MONTE CARLO

BAYESIAN STATISTICAL METHODS FOR ASTRONOMY PART III: MODEL BUILDING

APPROXIMATE BAYESIAN COMPUTATION, AN INTRODUCTION

CLUSTERING MILKY WAY’S GLOBULAR CLUSTERS: A BAYESIAN NONPARAMETRIC APPROACH

Notes:

Includes bibliographical references.

Description based on print version record.

Description based on publisher supplied metadata and other sources.

ISBN:

9782759822751

2759822753

OCLC:

1120697371