Coverart for item
The Resource Bayesian Methods for the Physical Sciences : Learning from Examples in Astronomy and Physics, by Stefano Andreon, Brian Weaver, (electronic resource)

Bayesian Methods for the Physical Sciences : Learning from Examples in Astronomy and Physics, by Stefano Andreon, Brian Weaver, (electronic resource)

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
by Stefano Andreon, Brian Weaver
Creator
Contributor
Author
Subject
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
http://library.link/vocab/creatorName
Andreon, Stefano
Image bit depth
0
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Weaver, Brian.
  • SpringerLink (Online service)
Series statement
Springer Series in Astrostatistics,
Series volume
4
http://library.link/vocab/subjectName
  • Statistics
  • Physics
  • Astronomy
  • Astrophysics
  • Cosmology
Label
Bayesian Methods for the Physical Sciences : Learning from Examples in Astronomy and Physics, by Stefano Andreon, Brian Weaver, (electronic resource)
Link
http://ezproxy.eui.eu/login?url=http://dx.doi.org/10.1007/978-3-319-15287-5
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier.
Color
not applicable
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
Control code
978-3-319-15287-5
Dimensions
unknown
Extent
XI, 238 p. 127 illus., 120 illus. in color.
File format
multiple file formats
Form of item
electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783319152875
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia.
Media type code
c
Other control number
10.1007/978-3-319-15287-5
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1086538200
Label
Bayesian Methods for the Physical Sciences : Learning from Examples in Astronomy and Physics, by Stefano Andreon, Brian Weaver, (electronic resource)
Link
http://ezproxy.eui.eu/login?url=http://dx.doi.org/10.1007/978-3-319-15287-5
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier.
Color
not applicable
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
Control code
978-3-319-15287-5
Dimensions
unknown
Extent
XI, 238 p. 127 illus., 120 illus. in color.
File format
multiple file formats
Form of item
electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783319152875
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia.
Media type code
c
Other control number
10.1007/978-3-319-15287-5
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1086538200

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