skip to content
Doing Bayesian data analysis : a tutorial with R, JAGS, and Stan Preview this item
ClosePreview this item
Checking...

Doing Bayesian data analysis : a tutorial with R, JAGS, and Stan

Author: John K Kruschke
Publisher: Boston : Academic Press, 2015.
Edition/Format:   Print book : English : Edition 2View all editions and formats
Summary:
Provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data.
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Document Type: Book
All Authors / Contributors: John K Kruschke
ISBN: 9780124058880 0124058884
OCLC Number: 881386855
Description: xii, 759 pages : illustrations ; 25 cm
Contents: What's in this book (Read this first!) --
Part I The basics: models, probability, Bayes' rule and r: Introduction: credibility, models, and parameters; The R programming language; What is this stuff called probability?; Bayes' rule --
Part II All the fundamentals applied to inferring a binomila probability: Inferring a binomial probability via exact mathematical analysis; Markov chain Monte Carlo; JAGS; Hierarchical models; Model comparison and hierarchical modeling; Null hypothesis significance testing; Bayesian approaches to testing a point ("Null") hypothesis; Goals, power, and sample size; Stan --
Part III The generalized linear model: Overview of the generalized linear model; Metric-predicted variable on one or two groups; Metric predicted variable with one metric predictor; Metric predicted variable with multiple metric predictors; Metric predicted variable with one nominal predictor; Metric predicted variable with multiple nominal predictors; Dichotomous predicted variable; Nominal predicted variable; Ordinal predicted variable; Count predicted variable; Tools in the trunk --
Bibliography --
Index.
Responsibility: John K. Kruschke.

Abstract:

Provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data.

Reviews

Editorial reviews

Publisher Synopsis

"I think it fills a gaping hole in what is currently available, and will serve to create its own market as researchers and their students transition towards the routine application of Bayesian Read more...

 
User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.

Similar Items

Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/881386855> # Doing Bayesian data analysis : a tutorial with R, JAGS, and Stan
    a schema:CreativeWork, schema:Book ;
    library:oclcnum "881386855" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/mau> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/3771963263#Topic/datenanalyse> ; # Datenanalyse
    schema:about <http://experiment.worldcat.org/entity/work/data/3771963263#Topic/matematisk_statistik> ; # Matematisk statistik
    schema:about <http://experiment.worldcat.org/entity/work/data/3771963263#Topic/statistik> ; # Statistik
    schema:about <http://experiment.worldcat.org/entity/work/data/3771963263#Topic/r> ; # R
    schema:about <http://experiment.worldcat.org/entity/work/data/3771963263#Topic/statistisk_teori> ; # Statistisk teori
    schema:about <http://experiment.worldcat.org/entity/work/data/3771963263#Topic/lineares_modell> ; # Lineares Modell
    schema:about <http://dewey.info/class/519.542/e23/> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/3771963263#Topic/bayes_entscheidungstheorie> ; # Bayes-Entscheidungstheorie
    schema:about <http://experiment.worldcat.org/entity/work/data/3771963263#Topic/bayes_verfahren> ; # Bayes-Verfahren
    schema:about <http://experiment.worldcat.org/entity/work/data/3771963263#Topic/bayesian_statistical_decision_theory> ; # Bayesian statistical decision theory
    schema:about <http://experiment.worldcat.org/entity/work/data/3771963263#Topic/markov_ketten_monte_carlo_verfahren> ; # Markov-Ketten-Monte-Carlo-Verfahren
    schema:about <http://experiment.worldcat.org/entity/work/data/3771963263#Topic/wahrscheinlichkeitstheorie> ; # Wahrscheinlichkeitstheorie
    schema:about <http://experiment.worldcat.org/entity/work/data/3771963263#Topic/r_computer_program_language> ; # R (Computer program language)
    schema:bookEdition "Edition 2." ;
    schema:bookFormat bgn:PrintBook ;
    schema:creator <http://experiment.worldcat.org/entity/work/data/3771963263#Person/kruschke_john_k> ; # John K. Kruschke
    schema:datePublished "2015" ;
    schema:description "Provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data."@en ;
    schema:description "What's in this book (Read this first!) -- Part I The basics: models, probability, Bayes' rule and r: Introduction: credibility, models, and parameters; The R programming language; What is this stuff called probability?; Bayes' rule -- Part II All the fundamentals applied to inferring a binomila probability: Inferring a binomial probability via exact mathematical analysis; Markov chain Monte Carlo; JAGS; Hierarchical models; Model comparison and hierarchical modeling; Null hypothesis significance testing; Bayesian approaches to testing a point ("Null") hypothesis; Goals, power, and sample size; Stan -- Part III The generalized linear model: Overview of the generalized linear model; Metric-predicted variable on one or two groups; Metric predicted variable with one metric predictor; Metric predicted variable with multiple metric predictors; Metric predicted variable with one nominal predictor; Metric predicted variable with multiple nominal predictors; Dichotomous predicted variable; Nominal predicted variable; Ordinal predicted variable; Count predicted variable; Tools in the trunk -- Bibliography -- Index."@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/3771963263> ;
    schema:inLanguage "en" ;
    schema:name "Doing Bayesian data analysis : a tutorial with R, JAGS, and Stan"@en ;
    schema:productID "881386855" ;
    schema:workExample <http://worldcat.org/isbn/9780124058880> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/881386855> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/3771963263#Person/kruschke_john_k> # John K. Kruschke
    a schema:Person ;
    schema:familyName "Kruschke" ;
    schema:givenName "John K." ;
    schema:name "John K. Kruschke" ;
    .

<http://experiment.worldcat.org/entity/work/data/3771963263#Topic/bayes_entscheidungstheorie> # Bayes-Entscheidungstheorie
    a schema:Intangible ;
    schema:name "Bayes-Entscheidungstheorie"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/3771963263#Topic/bayesian_statistical_decision_theory> # Bayesian statistical decision theory
    a schema:Intangible ;
    schema:name "Bayesian statistical decision theory"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/3771963263#Topic/markov_ketten_monte_carlo_verfahren> # Markov-Ketten-Monte-Carlo-Verfahren
    a schema:Intangible ;
    schema:name "Markov-Ketten-Monte-Carlo-Verfahren"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/3771963263#Topic/matematisk_statistik> # Matematisk statistik
    a schema:Intangible ;
    schema:name "Matematisk statistik"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/3771963263#Topic/r_computer_program_language> # R (Computer program language)
    a schema:Intangible ;
    schema:name "R (Computer program language)"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/3771963263#Topic/wahrscheinlichkeitstheorie> # Wahrscheinlichkeitstheorie
    a schema:Intangible ;
    schema:name "Wahrscheinlichkeitstheorie"@en ;
    .

<http://worldcat.org/isbn/9780124058880>
    a schema:ProductModel ;
    schema:isbn "0124058884" ;
    schema:isbn "9780124058880" ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.