Description
As Bayesian techniques become more common across a variety of fields, it becomes important for experts in those fields to understand those methods. 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.
EAN: | 9780323954594 |
Farbverschnitt: | Generell werden die Bücher ohne Farbverschnitt geliefert, auch wenn die Abbildungen einen Farbverschnitt zeigen. |
Erscheinungsjahr: | 02.08.2024 |
Autoren: | Loftus, Stephen C |
Themenüberschrift: | MATHEMATICS / Probability & Statistics / General |
Keyword: | Statistics; Bayesian Statistics; Statistical Computing; Markov Chain Monte Carlo Samplers; Probability; Hierarchical Models; Gibbs Sampling |