Description: Introduction to Bayesian Inference, Methods and Computation, Hardcover by Heard, Nick, ISBN 3030828077, ISBN-13 9783030828073, Like New Used, Free shipping in the US
These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. These advanced modelling techniques can easily be applied using computer code samples written in Python and Stan which are integrated into the main text. Importantly, the reader will learn methods for assessing model fit, and to choose between rival modelling approaches.
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Book Title: Introduction to Bayesian Inference, Methods and Computation
Number of Pages: Xii, 169 Pages
Publication Name: Introduction to Bayesian Inference, Methods and Computation
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2021
Subject: Mathematical & Statistical Software, General, Databases / General, Probability & Statistics / Bayesian Analysis
Type: Textbook
Item Weight: 15.8 Oz
Item Length: 9.3 in
Subject Area: Mathematics, Computers
Author: Nick Heard
Item Width: 6.1 in
Format: Hardcover