Hilbe, Joseph M.
Astrostatistical Challenges for the New Astronomy
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)
- Hilbe, Joseph M.
- Publisher
- Springer
- Publication year
- 2013
- Language
- en
- Edition
- 2013
- Series
- Springer Series in Astrostatistics
- Page amount
- 13 pages
- Category
- Natural Sciences
- Format
- Ebook
- eISBN (PDF)
- 9781461435082