The Resource Think Bayes : Bayesian Statistics Made Simple, Allen Downey

Think Bayes : Bayesian Statistics Made Simple, Allen Downey

Label
Think Bayes : Bayesian Statistics Made Simple
Title
Think Bayes
Title remainder
Bayesian Statistics Made Simple
Statement of responsibility
Allen Downey
Creator
Contributor
Author
Distributor
Subject
Genre
Language
eng
Summary
Think Bayes is an introduction to Bayesian statistics using computational methods. The premise of this book, and the other books in the Think X series, is that if you know how to program, you can use that skill to learn other topics. Most books on Bayesian statistics use mathematical notation and present ideas in terms of mathematical concepts like calculus. This book uses Python code instead of math, and discrete approximations instead of continuous mathematics. As a result, what would be an integral in a math book becomes a summation, and most operations on probability distributions are simple loops. I think this presentation is easier to understand, at least for people with programming skills. It is also more general, because when we make modeling decisions, we can choose the most appropriate model without worrying too much about whether the model lends itself to conventional analysis. Also, it provides a smooth development path from simple examples to real-world problems
Member of
Cataloging source
MnU
http://library.link/vocab/creatorName
Downey, Allen
LC call number
QA76
http://library.link/vocab/relatedWorkOrContributorName
  • Downey, Allen
  • Open Textbook Library
Series statement
Open textbook library
http://library.link/vocab/subjectName
Computer science
Label
Think Bayes : Bayesian Statistics Made Simple, Allen Downey
Link
https://open.umn.edu/opentextbooks/textbooks/288
Instantiates
Publication
Distribution
Copyright
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Preface -- 1 Bayes's Theorem -- 2 Computational Statistics -- 3 Estimation -- 4 More Estimation -- 5 Odds and Addends -- 6 Decision Analysis -- 7 Prediction -- 8 Observer Bias -- 9 Two Dimensions -- 10 Approximate Bayesian Computation -- 11 Hypothesis Testing -- 12 Evidence -- 13 Simulation -- 14 A Hierarchical Model -- 15 Dealing with Dimensions
Extent
1 online resource
Isbn
9781449370787
Media category
computer
Media MARC source
rdamedia
Media type code
c
Publication frequency
Updated irregularly.
System control number
(MnU)OTLid0000288
System details
Mode of access: World Wide Web
Label
Think Bayes : Bayesian Statistics Made Simple, Allen Downey
Link
https://open.umn.edu/opentextbooks/textbooks/288
Publication
Distribution
Copyright
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Preface -- 1 Bayes's Theorem -- 2 Computational Statistics -- 3 Estimation -- 4 More Estimation -- 5 Odds and Addends -- 6 Decision Analysis -- 7 Prediction -- 8 Observer Bias -- 9 Two Dimensions -- 10 Approximate Bayesian Computation -- 11 Hypothesis Testing -- 12 Evidence -- 13 Simulation -- 14 A Hierarchical Model -- 15 Dealing with Dimensions
Extent
1 online resource
Isbn
9781449370787
Media category
computer
Media MARC source
rdamedia
Media type code
c
Publication frequency
Updated irregularly.
System control number
(MnU)OTLid0000288
System details
Mode of access: World Wide Web

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