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Book Categories |
| Ch. 1 | Principles of Bayesian inference | 1 |
| Ch. 2 | Model comparison and choice | 29 |
| Ch. 3 | Regression for metric outcomes | 55 |
| Ch. 4 | Models for binary and count outcomes | 113 |
| Ch. 5 | Further questions in binomial and count regression | 155 |
| Ch. 6 | Random effect and latent variable models for multicategory outcomes | 197 |
| Ch. 7 | Ordinal regression | 235 |
| Ch. 8 | Discrete spatial data | 267 |
| Ch. 9 | Time series models for discrete variables | 289 |
| Ch. 10 | Hierarchical and panel data models | 321 |
| Ch. 11 | Missing-data models | 379 |
| Price | Condition | Delivery | Seller | Action |
| $120.00 | Digital |
| WonderClub |
Ian Atherden
reviewed Bayesian Models for Categorical Data on January 21, 2015
Bayesian Models for Categorical Data
Too terse for my taste. The proofs are too telegraphic, probably with the intention of treating a large number of theorems / results. It's an excellent compendium (a lot of new material) but it's not a book to learn Graph Theory from.
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