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About Introduction to Bayesian Data Analysis
This book introduces Bayesian data analysis and Bayesian cognitive modeling to students and researchers in cognitive science (e.g., linguistics, psycholinguistics, psychology, computer science), with a particular focus on modeling data from planned experiments. The book relies on the probabilistic programming language Stan and the R package brms, which is a front-end to Stan. The book only assumes that the reader is familiar with the statistical programming language R, and has basic high school exposure to pre-calculus mathematics
Detailed Information
| Author: | Bruno Nicenboim |
|---|---|
| Pages: | 635 |
| Language: | English |
| File Size: | 45 |
| Format: | |
| Price: | FREE |
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