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Hilbe, Joseph M.

Astrostatistical Challenges for the New Astronomy

Hilbe, Joseph M. - Astrostatistical Challenges for the New Astronomy, ebook

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ISBN: 9781461435082
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Table of contents

1. Astrostatistics: A Brief History and View to the Future
Joseph M. Hilbe

2. Bayesian Astrostatistics: A Backward Look to the Future
Thomas J. Loredo

3. Understanding Better (Some) Astronomical Data Using Bayesian Methods
S. Andreon

4. BEAMS: Separating the Wheat from the Chaff in Supernova Analysis
Martin Kunz, Renée Hlozek, Bruce A. Bassett, Mathew Smith, James Newling, Melvin Varughese

5. Gaussian Random Fields in Cosmostatistics
Benjamin D. Wandelt

6. Recent Advances in Bayesian Inference in Cosmology and Astroparticle Physics Thanks to the MultiNest Algorithm
Roberto Trotta, Farhan Feroz, Mike Hobson, Roberto Ruiz Austri

7. Extra-solar Planets via Bayesian Fusion MCMC
Philip C. Gregory

8. Classification and Anomaly Detection for Astronomical Survey Data
Marc Henrion, Daniel J. Mortlock, David J. Hand, Axel Gandy

9. Independent Component Analysis for Dimension Reduction Classification: Hough Transform and CASH Algorithm
Asis Kumar Chattopadhyay, Tanuka Chattyopadhyay, Tuli De, Saptarshi Mondal

10. Improved Cosmological Constraints from a Bayesian Hierarchical Model of Supernova Type Ia Data
Marisa Cristina March, Roberto Trotta, Pietro Berkes, Glenn Starkman, Pascal Vaudrevange

Keywords: Statistics, Statistical Theory and Methods, Statistics and Computing/Statistics Programs, Astronomy, Astrophysics and Cosmology

Author(s)
Publisher
Springer
Publication year
2013
Language
en
Edition
2013
Series
Springer Series in Astrostatistics
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9781461435082

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