Bayes Rules!: An Introduction to Applied Bayesian Modeling
Material type:
TextPublication details: Routledge 2022 Boca RatonDescription: 521pISBN: - 9780367255398
- 519.542 JOH
| Item type | Current library | Item location | Collection | Call number | Status | Date due | Barcode | Item holds | |
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Book
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NIMA Knowledge Centre | 9th Floor Reading Zone | General | 519.542 JOH (Browse shelf(Opens below)) | Available | M0043258 |
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| 519.542 FEN Risk Assessment and Decision Analysis with Bayesian Networks | 519.542 GHO Fundamentals of Nonparametric Bayesian Inference | 519.542 GIL Bayesian Methods: A Social and Behavioral Sciences Approach | 519.542 JOH Bayes Rules!: An Introduction to Applied Bayesian Modeling | 519.542 KAD Pragmatics of Uncertainty | 519.542 MIT Bayesian Network: Applications and Graphical Models | 519.542 SCU Bayesian Networks: with examples in R |
I: Bayesian foundations
1 The Big (Bayesian) Picture
2 Bayes' Rule
3 The Beta-Binomial Bayesian Model
4 Balance and Sequentiality in Bayesian Analyses
5 Conjugate Families
II: Posterior Simulation & Analysis
6 Approximating the Posterior
7 MCMC under the Hood
8 Posterior Inference and Prediction
III: Bayesian Regression & Classification
9 Simple Normal Regression
10 Evaluating Regression Models
11 Extending the Normal Regression Model
12 Poisson and Negative Binomial Regression
13 Logistic Regression
14 Naive Bayes Classification
IV: Hierarchical Bayesian models
15 Hierarchical Models are Exciting
16 (Normal) Hierarchical Models Without Predictors
17 (Normal) Hierarchical Models With Predictors
18 Non-Normal Hierarchical Regression & Classification
19 Adding More Layers
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