Astrostatistical Challenges for the New Astronomy
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Published By Springer New York

9781461435075, 9781461435082

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Extra-solar Planets via Bayesian Fusion MCMC

Astrostatistical Challenges for the New Astronomy ◽

10.1007/978-1-4614-3508-2_7 ◽

2012 ◽

pp. 121-148 ◽

Cited By ~ 2

Author(s):

Philip C. Gregory

Keyword(s):

Bayesian Fusion

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Recent Advances in Bayesian Inference in Cosmology and Astroparticle Physics Thanks to the MultiNest Algorithm

Astrostatistical Challenges for the New Astronomy ◽

10.1007/978-1-4614-3508-2_6 ◽

2012 ◽

pp. 107-119

Author(s):

Roberto Trotta ◽

Farhan Feroz ◽

Mike Hobson ◽

Roberto Ruiz de Austri

Keyword(s):

Bayesian Inference ◽

Astroparticle Physics ◽

Recent Advances

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Astrostatistics: A Brief History and View to the Future

Astrostatistical Challenges for the New Astronomy ◽

10.1007/978-1-4614-3508-2_1 ◽

2012 ◽

pp. 1-13

Author(s):

Joseph M. Hilbe

Keyword(s):

The Future

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Gaussian Random Fields in Cosmostatistics

Astrostatistical Challenges for the New Astronomy ◽

10.1007/978-1-4614-3508-2_5 ◽

2012 ◽

pp. 87-105

Author(s):

Benjamin D. Wandelt

Keyword(s):

Random Fields ◽

Gaussian Random Fields

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Understanding Better (Some) Astronomical Data Using Bayesian Methods

Astrostatistical Challenges for the New Astronomy ◽

10.1007/978-1-4614-3508-2_3 ◽

2012 ◽

pp. 41-62 ◽

Cited By ~ 2

Author(s):

S. Andreon

Keyword(s):

Bayesian Methods ◽

Astronomical Data

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Improved Cosmological Constraints from a Bayesian Hierarchical Model of Supernova Type Ia Data

Astrostatistical Challenges for the New Astronomy ◽

10.1007/978-1-4614-3508-2_10 ◽

2012 ◽

pp. 203-235

Author(s):

Marisa Cristina March ◽

Roberto Trotta ◽

Pietro Berkes ◽

Glenn Starkman ◽

Pascal Vaudrevange

Keyword(s):

Hierarchical Model ◽

Bayesian Hierarchical Model ◽

Bayesian Hierarchical ◽

Cosmological Constraints ◽

Type Ia ◽

Supernova Type Ia

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Classification and Anomaly Detection for Astronomical Survey Data

Astrostatistical Challenges for the New Astronomy ◽

10.1007/978-1-4614-3508-2_8 ◽

2012 ◽

pp. 149-184 ◽

Cited By ~ 2

Author(s):

Marc Henrion ◽

Daniel J. Mortlock ◽

David J. Hand ◽

Axel Gandy

Keyword(s):

Anomaly Detection ◽

Survey Data

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Bayesian Astrostatistics: A Backward Look to the Future

Astrostatistical Challenges for the New Astronomy ◽

10.1007/978-1-4614-3508-2_2 ◽

2012 ◽

pp. 15-40 ◽

Cited By ~ 6

Author(s):

Thomas J. Loredo

Keyword(s):

The Future

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BEAMS: Separating the Wheat from the Chaff in Supernova Analysis

Astrostatistical Challenges for the New Astronomy ◽

10.1007/978-1-4614-3508-2_4 ◽

2012 ◽

pp. 63-86

Author(s):

Martin Kunz ◽

Renée Hlozek ◽

Bruce A. Bassett ◽

Mathew Smith ◽

James Newling ◽

...

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Independent Component Analysis for Dimension Reduction Classification: Hough Transform and CASH Algorithm

Astrostatistical Challenges for the New Astronomy ◽

10.1007/978-1-4614-3508-2_9 ◽

2012 ◽

pp. 185-202 ◽

Cited By ~ 1

Author(s):

Asis Kumar Chattopadhyay ◽

Tanuka Chattyopadhyay ◽

Tuli De ◽

Saptarshi Mondal

Keyword(s):

Independent Component Analysis ◽

Dimension Reduction ◽

Hough Transform ◽

Component Analysis ◽

Independent Component

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Astrostatistical Challenges for the New AstronomyLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer New York

Extra-solar Planets via Bayesian Fusion MCMC

Recent Advances in Bayesian Inference in Cosmology and Astroparticle Physics Thanks to the MultiNest Algorithm

Astrostatistics: A Brief History and View to the Future

Gaussian Random Fields in Cosmostatistics

Understanding Better (Some) Astronomical Data Using Bayesian Methods

Improved Cosmological Constraints from a Bayesian Hierarchical Model of Supernova Type Ia Data

Classification and Anomaly Detection for Astronomical Survey Data

Bayesian Astrostatistics: A Backward Look to the Future

BEAMS: Separating the Wheat from the Chaff in Supernova Analysis

Independent Component Analysis for Dimension Reduction Classification: Hough Transform and CASH Algorithm

Astrostatistical Challenges for the New Astronomy
Latest Publications