Coverart for item
The Resource Statistical rethinking : a Bayesian course with examples in R and Stan, Richard McElreath, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany

Statistical rethinking : a Bayesian course with examples in R and Stan, Richard McElreath, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany

Label
Statistical rethinking : a Bayesian course with examples in R and Stan
Title
Statistical rethinking
Title remainder
a Bayesian course with examples in R and Stan
Statement of responsibility
Richard McElreath, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
Creator
Subject
Genre
Language
eng
Summary
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers'knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today's model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web ResourceThe book is accompanied by an R package (rethinking) that is available on the author's website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas
Member of
Cataloging source
N$T
http://library.link/vocab/creatorDate
1973-
http://library.link/vocab/creatorName
McElreath, Richard
Dewey number
519.5/42
Illustrations
illustrations
Index
index present
LC call number
QA279.5
LC item number
.M3975 2016eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Chapman & Hall/CRC texts in statistical science series
http://library.link/vocab/subjectName
  • Bayesian statistical decision theory
  • R (Computer program language)
  • Bayesian statistical decision theory
  • R (Computer program language)
  • Bayes-Entscheidungstheorie
  • Statistisches Modell
  • R
  • MATHEMATICS / Applied
  • MATHEMATICS / Probability & Statistics / General
  • Bayesian statistical decision theory
  • R (Computer program language)
  • Bayes-Entscheidungstheorie
  • Statistisches Modell
  • R
  • MATHEMATICS / Applied
  • MATHEMATICS / Probability & Statistics / General
Label
Statistical rethinking : a Bayesian course with examples in R and Stan, Richard McElreath, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
Instantiates
Publication
Note
"A CRC title."
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
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
The golem of Prague -- Small worlds and large worlds -- Sampling the imaginary -- Linear models -- Multivariate linear models -- Overfitting, regularization, and information criteria -- Interactions -- Markov chain Monte Carlo -- Big entropy and the generalized linear model -- Counting and classification -- Monsters and mixtures -- Multilevel models -- Adventures in covariance -- Missing data and other opportunities -- Horoscopes
Control code
956953600
Dimensions
unknown
Extent
1 online resource (xvii, 469 pages)
File format
unknown
Form of item
online
Isbn
9781482253467
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
http://library.link/vocab/ext/overdrive/overdriveId
948947
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)956953600
Label
Statistical rethinking : a Bayesian course with examples in R and Stan, Richard McElreath, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
Publication
Note
"A CRC title."
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
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
The golem of Prague -- Small worlds and large worlds -- Sampling the imaginary -- Linear models -- Multivariate linear models -- Overfitting, regularization, and information criteria -- Interactions -- Markov chain Monte Carlo -- Big entropy and the generalized linear model -- Counting and classification -- Monsters and mixtures -- Multilevel models -- Adventures in covariance -- Missing data and other opportunities -- Horoscopes
Control code
956953600
Dimensions
unknown
Extent
1 online resource (xvii, 469 pages)
File format
unknown
Form of item
online
Isbn
9781482253467
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
http://library.link/vocab/ext/overdrive/overdriveId
948947
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)956953600

Library Locations

    • Ellis LibraryBorrow it
      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
    • Engineering Library & Technology CommonsBorrow it
      W2001 Lafferre Hall, Columbia, MO, 65211, US
      38.946102 -92.330125
Processing Feedback ...