Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based statistics, the book pushes you to perform step-by-step calculations that are usually automated. This
Statistical rethinking : a Bayesian course with examples in R and Stan
β Scribed by Richard McElreath
- Publisher
- CRC
- Year
- 2016
- Tongue
- English
- Leaves
- 484
- Series
- Chapman & Hall/CRC textbooks in computing
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Front Cover
Contents
Preface
1: The Golem of Prague
2: Small Worlds and Large Worlds
3: Sampling the Imaginary
4: Linear Models
5: Multivariate Linear Models
6: Overfitting, Regularization, and Information Criteria
7: Interactions
8: Markov Chain Monte Carlo
9: Big Entropy and the Generalized Linear Model
10: Counting and Classification
11: Monsters and Mixtures
12: Multilevel Models
13: Adventures in Covariance
14: Missing Data and Other Opportunities
15: Horoscopes
Endnotes
Bibliography
Back Cover
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<P><STRONG>Statistical Rethinking: A Bayesian Course with Examples in R and Stan</STRONG> builds readersβ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in todayβs model-based statistics, the book pushes readers to perform step-by-step calculation
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readersβ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in todayβs model-based statistics, the book pushes readers to perform step-by-step calculations that are usually a