Astrostatistical Challenges for the New Astronomy: 1 and over 2 million other books are available for Amazon Kindle . Learn more


or
Sign in to turn on 1-Click ordering.
More Buying Choices
Have one to sell? Sell yours here
Start reading Astrostatistical Challenges for the New Astronomy on your Kindle in under a minute.

Don't have a Kindle? Get your Kindle here, or download a FREE Kindle Reading App.

Astrostatistical Challenges for the New Astronomy (Springer Series in Astrostatistics) [Hardcover]

Joseph M. Hilbe

RRP: 76.50
Price: 63.61 & FREE Delivery in the UK. Details
You Save: 12.89 (17%)
o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o
Only 1 left in stock (more on the way).
Dispatched from and sold by Amazon. Gift-wrap available.
Want it Monday, 28 July? Choose Express delivery at checkout. Details
‹  Return to Product Overview

Table of Contents

Joseph Hilbe, Jet Propulsion Laboratory and Arizona State University, Astrostatistics: A brief history and view to the future.- Thomas Loredo, Cornell Univ, Bayesian astrostatistics: A backward look to the future.- Stefano Andreon, INAF-Osservatorio Astronomico di Brera, Italy, Understanding better (some) astronomical data using Bayesian methods.- Martin Kunz, Institute for Theoretical Physics, Univ of Geneva, BEAMS: separating the wheat from the chaff in supernova analysis.- Benjamin Wandelt, Institut d'Astrophysique de Paris, Université Pierre et Marie Curie, France, Cosmostatistics.- Roberto Trotta, Astrophysics Group, Dept of Physics, Imperial College London  (with Farhan Feroz (Cambridge), Mike Hobson (Cambridge), and Roberto Ruiz de Austri (Univ of Valencia, Spain), Recent advances in Bayesian inference in cosmology and astroparticle physics thanks to the Multinest Algorithm.- Phillip Gregory, Department of Astronomy, Univ of British Columbia, Canada, Extrasolar planets via Bayesian model fitting.- Marc Henrion, Dept of Mathematics, Imperial College, London, UK (with Daniel Mortlock (Imperial), Axel Gandy (Imperial), and David J. Hand (Imperial)), Subspace methods for anomaly detection in high dimensional astronomical databases.- Asis Kumar Chattopadhyay, Dept of Statistics, Univ of Calcutta, India (with Tanuka Chattyopadhyay, Tuli De, and Saptarshi Mondal), Independent Component Analysis for dimension reduction classification: Hough transform and CASH Algorithm.- Marisa March, Astrophysics Group, Dept of Physics, Imperial College London (with Roberto Trotta), Improved cosmological constraints from a Bayesian hierarchical model of supernova type Ia data

‹  Return to Product Overview