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Book Categories |
Preface | ||
I | Review of Probability and Distribution Theory | 1 |
1 | Probability and Random Variables | 3 |
2 | Functions of Random Variables | 77 |
II | Methods of Inference | 117 |
3 | An Introduction to Likelihood Inference | 119 |
4 | Further Topics in Likelihood Inference | 161 |
5 | An Introduction to Bayesian Inference | 211 |
6 | Bayesian Analysis of Linear Models | 287 |
7 | The Prior Distribution and Bayesian Analysis | 327 |
8 | Bayesian Assessment of Hypotheses and Models | 399 |
9 | Approximate Inference Via the EM Algorithm | 443 |
III | Markov Chain Monte Carlo Methods | 475 |
10 | An Overview of Discrete Markov Chains | 477 |
11 | Markov Chain Monte Carlo | 497 |
12 | Implementation and Analysis of MCMC Samples | 539 |
IV | Applications in Quantitative Genetics | 561 |
13 | Gaussian and Thick-Tailed Linear Models | 563 |
14 | Threshold Models for Categorical Responses | 605 |
15 | Bayesian Analysis of Longitudinal Data | 627 |
16 | Segregation and Quantitative Trait Loci Analysis | 671 |
References | 701 | |
List of Citations | 727 | |
Subject Index | 733 |
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