The Resource Bayesian methods for the physical sciences : learning from examples in astronomy and physics, Stefano Andreon, Brian Weaver

Bayesian methods for the physical sciences : learning from examples in astronomy and physics, Stefano Andreon, Brian Weaver

Label
Bayesian methods for the physical sciences : learning from examples in astronomy and physics
Title
Bayesian methods for the physical sciences
Title remainder
learning from examples in astronomy and physics
Statement of responsibility
Stefano Andreon, Brian Weaver
Creator
Contributor
Author
Subject
Genre
Language
eng
Summary
Statistical literacy is critical for the modern researcher in Physics and Astronomy. This book empowers researchers in these disciplines by providing the tools they will need to analyze their own data. Chapters in this book provide a statistical base from which to approach new problems, including numerical advice and a profusion of examples. The examples are engaging analyses of real-world problems taken from modern astronomical research. The examples are intended to be starting points for readers as they learn to approach their own data and research questions. Acknowledging that scientific progress now hinges on the availability of data and the possibility to improve previous analyses, data and code are distributed throughout the book. The JAGS symbolic language used throughout the book makes it easy to perform Bayesian analysis and is particularly valuable as readers may use it in a myriad of scenarios through slight modifications. This book is comprehensive, well written, and will surely be regarded as a standard text in both astrostatistics and physical statistics. Joseph M. Hilbe, President, International Astrostatistics Association, Professor Emeritus, University of Hawaii, and Adjunct Professor of Statistics, Arizona State University
Member of
Cataloging source
N$T
http://library.link/vocab/creatorName
Andreon, Stefano
Dewey number
519.5/42
Illustrations
illustrations
Index
no index present
LC call number
QC20.7.B38
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Weaver, Brian
Series statement
Springer series in astrostatistics,
http://library.link/vocab/subjectName
  • Bayesian statistical decision theory
  • Mathematical physics
  • Statistical astronomy
  • MATHEMATICS
  • MATHEMATICS
  • Bayesian statistical decision theory
  • Mathematical physics
  • Statistical astronomy
  • Statistics
  • Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  • Astronomy, Astrophysics and Cosmology
  • Mathematical Methods in Physics
  • Mathematical physics
  • Probability & statistics
  • Theoretical & mathematical astronomy
Label
Bayesian methods for the physical sciences : learning from examples in astronomy and physics, Stefano Andreon, Brian Weaver
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-15287-5
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Recipes -- A Bit of Theory -- A Bit of Numerical Computation -- Single Parameter Models -- The Prior -- Multi-parameters Models -- Non-random Data Collection -- Fitting Regression Models -- Model Checking and Sensitivity Analysis -- Bayesian vs Simple Methods -- Appendix: Probability Distributions -- Appendix: The third axiom of probability, conditional probability, independence and conditional independence
Dimensions
unknown
Extent
1 online resource (xi, 238 pages)
File format
unknown
Form of item
online
Isbn
9783319152875
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-15287-5
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)909772452
  • (OCoLC)ocn909772452
Label
Bayesian methods for the physical sciences : learning from examples in astronomy and physics, Stefano Andreon, Brian Weaver
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-15287-5
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Recipes -- A Bit of Theory -- A Bit of Numerical Computation -- Single Parameter Models -- The Prior -- Multi-parameters Models -- Non-random Data Collection -- Fitting Regression Models -- Model Checking and Sensitivity Analysis -- Bayesian vs Simple Methods -- Appendix: Probability Distributions -- Appendix: The third axiom of probability, conditional probability, independence and conditional independence
Dimensions
unknown
Extent
1 online resource (xi, 238 pages)
File format
unknown
Form of item
online
Isbn
9783319152875
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-15287-5
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)909772452
  • (OCoLC)ocn909772452

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