Stephen C. Loftus,
Stephen C. (Analyst, Research & Development, Atlanta Braves Baseball Club) Loftus
Elsevier Science
e druk, 2024
9780323954594
An Introductory Handbook of Bayesian Thinking
Specificaties
Paperback, blz.
|
Engels
Elsevier Science |
2024
ISBN13: 9780323954594
Rubricering
Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
An Introductory Handbook of Bayesian Thinking brings Bayesian thinking and methods to a wide audience beyond the mathematical sciences. Appropriate for students with some background in calculus and introductory statistics, particularly for nonstatisticians with a sufficient mathematical background, the text provides a gentle introduction to Bayesian ideas with a wide array of supporting examples from a variety of fields.
Specificaties
Inhoudsopgave
1. Probability and Random Variables<br>2. Probability Distributions, Expected Value, and Variance<br>3. Common Probability Distributions<br>4. Conditional Probability and Bayes' Rule<br>5. Finding and Using Distributions of Data<br>6. Marginal and Conditional Distributions<br>7. The Bayesian Switch<br>8. A Brief Review of R<br>9. Single Parameter Bayesian Inference<br>10. Multi-Parameter Inference<br>11. Gibbs Sampling in R<br>12. Bayesian Linear Regression<br>13. Bayesian Binary Regression<br>14. Probabilistic Clustering<br>15. Dealing with Non-conjugate Priors<br>16. Models for Count Data<br>17. Testing Hypotheses with Bayes<br>18. Bayesian Inference Beyond This Book<br><br>Appendix A: Matrix Form of Bayesian Linear Regression<br>Appendix B: Multivariate Clustering<br>Appendix C: List of Probability Distributions<br>Appendix D: Solutions to Practice Problems