Astrostatistics and Data Mining [Paperback]

 This volume provides an overview of the field of Astrostatistics understood as the sub-discipline dedicated to the statistical analysis of astronomical data. It presents examples of the application of the various methodologies now available to current open issues in astronomical research. The technical aspects related to the scientific analysis of the upcoming petabyte-scale databases are emphasized given the importance that scalable Knowledge Discovery techniques will have for the full exploitation of these databases.

Based on the 2011 Astrostatistics and Data Mining in Large Astronomical Databases conference and school, this volume gathers examples of the work by leading authors in the areas of Astrophysics and Statistics, including a significant contribution from the various teams that prepared for the processing and analysis of the Gaia data.??

This book offers an overview of the statistical analysis of astronomical data, presenting examples that apply current methodologies to open issues in astronomical research, and exploring scientific analysis of the upcoming petabyte-scale databases.??? 'Science with Gaia: how will we deal with a complex billion-source ?catalogue and data archive?' by Anthony Brown (Leiden University,Netherlads).- 'Recent Advances in cosmological Bayesian model comparison' by ?Roberto Trotta (University College London, UK).- 'The Art of Data Science' by? Matthew Graham (Center for Advanced ?Computing Research, California Institute? of Technology, USA).- 'Astronomical Surveys: from SDSS to LSST' by Robert Lupton ?(Princeton University, USA).- 'Exoplanet demography, quasar target selection, and probabilistic ?redshift estimation:? Hierarchical models for density estimation, ?classification, and regression.' by David Hogg (New York University, ?USA).- 'Learning to disentangle Exoplanet signals from correlated noise' ?by Suzanne Aigrain (Oxford University, UK).- Astroinformatics and data mininglS