Bayesian models for astrophysical data using R, JAGS, Python, and Stan / Joseph M. Hilbe, Arizona State University and Jet Propulsion Laboratory, California Insitute of Technology, Rafael S. de Souza, Eötvös Loránd University Budapest, Emille E. O. Ishida, Université Clermont-Auvergne (Université Blaise Pascal), France.

By:

Hilbe, Joseph M, 1944-

Contributor(s):

Material type: Text

TextPublisher: Cambridge : Cambridge University Press, 2017Description: xvii, 393 pages, 18 unnumbered pages of plates : illustrations (some color) ; 26 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781107133082 (hbk : alk. paper)

Subject(s):

DDC classification:

520.1/519542 23

LOC classification:

QB149 .H55 2017

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Item type	Current library	Call number	Status	Date due	Barcode
Books	Raman Research Institute Library	519.226.3 HIL (Browse shelf(Opens below))	Available		28866

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Previous	519.226.3 BUC Maximum entropy in action: A collection of expository essays	519.226.3 GRE Bayesian logical data analysis for the physical sciences :	519.226.3 HAR Bayesian inference :	519.226.3 HIL Bayesian models for astrophysical data using R, JAGS, Python, and Stan /	519.226.3 LEE Bayesian statistics :	519.226.3 LIN Bayesian Inference: with ecological applications	519.226.3 MAR/II Bayesian essentials with R /	Next

Includes bibliographical references 380-390and index.

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