Astrostatistical challenges for the new astronomy Joseph M. Hilbe, editor

Format:

Book

Contributor:

Hilbe, Joseph M., 1944-

Series:

Springer series in astrostatistics #1

Language:

English

Subjects (All):

Statistical astronomy.

Astronomy.

Astronomical Phenomena.

astronomy.

Medical Subjects:

Astronomical Phenomena.

Astronomy.

Physical Description:

1 online resource

Place of Publication:

New York, NY Springer ©2013

Language Note:

English

System Details:

text file PDF

Summary:

Astrostatistical Challenges for the New Astronomy presents a collection of monographs authored by several of the disciplines leading astrostatisticians, i.e. by researchers from the fields of statistics and astronomy-astrophysics having in interest in the statistical analysis of astronomical and cosmological data. Eight of the ten monographs are enhancements of presentations given by the authors as invited or special topics in astrostatistics papers at the ISI World Statistics Congress (2011, Dublin, Ireland). The opening chapter, by the editor, was adapted from an invited seminar given at Los Alamos National Laboratory (2011) on the history and current state of the discipline; the second chapter by Thomas Loredo was adapted from his invited presentation at the Statistical Challenges in Modern Astronomy V conference (2011, Pennsylvania State University), presenting insights regarding frequentist and Bayesian methods of estimation in astrostatistical analysis. The remaining monographs are research papers discussing various topics in astrostatistics. The monographs provide the reader with an excellent overview of the current state astrostatistical research, and offer guidelines as to subjects of future research

Contents:

Astrostatistics: A Brief History and View to the Future Joseph M. Hilbe Bayesian Astrostatistics: A Backward Look to the Future Thomas J. Loredo Understanding Better (Some) Astronomical Data Using Bayesian Methods S. Andreon BEAMS: Separating the Wheat from the Chaff in Supernova Analysis Martin Kunz, Renée Hlozek, Bruce A. Bassett, Mathew Smith and James Newling, et al. Gaussian Random Fields in Cosmostatistics Benjamin D. Wandelt Recent Advances in Bayesian Inference in Cosmology and Astroparticle Physics Thanks to the MultiNest Algorithm Roberto Trotta, Farhan Feroz, Mike Hobson and Roberto Ruiz de Austri Extra-solar Planets via Bayesian Fusion MCMC Philip C. Gregory Classification and Anomaly Detection for Astronomical Survey Data Marc Henrion, Daniel J. Mortlock, David J. Hand and Axel Gandy Independent Component Analysis for Dimension Reduction Classification: Hough Transform and CASH Algorithm Asis Kumar Chattopadhyay, Tanuka Chattyopadhyay, Tuli De and Saptarshi Mondal Improved Cosmological Constraints from a Bayesian Hierarchical Model of Supernova Type Ia Data Marisa Cristina March, Roberto Trotta, Pietro Berkes, Glenn Starkman and Pascal Vaudrevange

Notes:

Title page from PDF; (SpringerLink; viewed on Dec. 13, 2012)

Includes bibliographical references

ISBN:

9781461435082

1461435080

1283909707

9781283909709

OCLC:

821051383

Publisher Number:

10.1007/978-1-4614-3508-2

Access Restriction:

Restricted for use by site license