Bayes rules! : an introduction to Bayesian modeling with R /: an introduction to Bayesian modeling with R. (2022)

• Record Type: Book
• Further Information: Note: Alicia A. Johnson, Mies Ott, Mine Dogucu.
• Authors: Johnson, Alicia A
• Editors: Ott, Miles Q; Dogucu, Mine
• Contents: List of Tables List of Figures Preface About the Author Chapter 1 The Big (Bayesian) Picture Chapter 2 Bayes’ Rule Chapter 3 The Beta-Binomial Bayesian Model Chapter 4 Balance and Sequentiality in Bayesian Analyses Chapter 5 Conjugate Families Chapter 6 Approximating the Posterior Chapter 7 MCMC Under the Hood Chapter 8 Posterior Inference and Prediction Chapter 9 Simple Normal Regression Chapter 10 Evaluating Regression Models Chapter 11 Extending the Normal Regression Model Chapter 12 Poisson and Negative Binomial Regression Chapter 13 Logistic Regression Chapter 14 Naive Bayes Classification Chapter 15 Hierarchical Models are Exciting Chapter 16 (Normal) Hierarchical Models Without Predictors Chapter 17 (Normal) Hierarchical Models With Predictors Chapter 18 Non-Normal Hierarchical Regression & Classification Chapter 19 Adding More Layers Bibliography Index
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2022
• Extent: 1 online resource, illustrations (black and white, and colour)
• Subjects: 519.542; Bayesian statistical decision theory; R (Computer program language)
• Languages: English
• ISBNs: 9781000529562; 9781000529500; 9780429288340
• Related ISBNs: 9781032191591; 9780367255398
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.