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Type: BOOK - Published: 2012-11-07 - Publisher: Springer Science & Business Media

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Astrostatistical Challenges for the New Astronomy presents a collection of monographs authored by several of the disciplines leading astrostatisticians, i.e. by
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Modern Statistical Methods for Astronomy: With R Applications.
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This book introduces “Astrostatistics” as a subject in its own right with rewarding examples, including work by the authors with galaxy and Gamma Ray Burst
Statistics, Data Mining, and Machine Learning in Astronomy
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"As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte
Bayesian Models for Astrophysical Data
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This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use directly or to adap