An Introduction to Bayesian Thinking
Overview & Synopsis
The goal of this book is to provide an introduction to Bayesian Inference in decision making without requiring calculus. It may be used on its own as an open-access introduction to Bayesian inference using R Programming Language for anyone interested in learning about Bayesian statistics.
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Document Information
| Document Title | An Introduction to Bayesian Thinking |
|---|---|
| Author / Organization | Merlise Clyde, Mine Çetinkaya-Rundel, Colin Rundel, David Banks, Christine Chai, Lizzy Huang |
| Subject & Discipline | Bayesian Thinking, The R Programming Language, Statistics, Mathematical Statistics, Probability and Stochastic, Data Processing, Data Analysis and Data Mining |
| Categories | Bayesian Thinking |
| Publication Year | 2022 |
| Resource Verification | ✓ Verified Direct PDF Available |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 2803.1 KB (2,870,329 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-55814 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |