Astrostatistics and Data MiningLuis Manuel Sarro, Laurent Eyer, William O'Mullane, Joris De Ridder 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. |
Other editions - View all
Astrostatistics and Data Mining Luis Manuel Sarro,Laurent Eyer,William O'Mullane,Joris De Ridder No preview available - 2012 |
Astrostatistics and Data Mining Luis Manuel Sarro,Laurent Eyer,William O'Mullane,Joris De Ridder No preview available - 2014 |
Astrostatistics and Data Mining Luis Manuel Sarro,Laurent Eyer,William O'Mullane,Joris De Ridder No preview available - 2012 |
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algorithms analysis applied asteroids astrometric astrometric parameters astronomical Astrophys astrophysical parameters Astrostatistics and Data Bayes factor Bayesian model Bayesian model comparison binary burst caustic crossings classifier cluster computing correlation cosmological covariance Data Mining data set database denoisification density detected distribution e-mail effective temperature error bars estimate Fe/H feature selection flux measurements function Gaia catalogue Gaia data Gaia mission Galaxy Hadoop Hipparcos implementation iterations L.M. Sarro light curves likelihood logg luminosity machine learning magnification magnitude mass Media New York methods MNRAS model comparison noisification objects observed obtained panel parallax performance photometric pixels posterior probability prior problem processing quasars random forest redshift Roy Astron Soc sample SDSS secondary star Series in Astrostatistics simulated space spectra Springer Science+Business Media Springer Series statistical stellar structure SVMs Teff test set training data training set variable stars vector velocity