Statistical Rethinking
A Bayesian Course with Examples in R and STAN
(Sprache: Englisch)
Statistical Rethinking: A Bayesian Course with Examples in R and Stan, Second Edition builds knowledge/confidence in statistical modeling. Pushes readers to perform step-by-step calculations (usually automated.) Unique, computational approach.
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Statistical Rethinking: A Bayesian Course with Examples in R and Stan, Second Edition builds knowledge/confidence in statistical modeling. Pushes readers to perform step-by-step calculations (usually automated.) Unique, computational approach.
Inhaltsverzeichnis zu „Statistical Rethinking “
1. The Golem of Prague. 2. Small Worlds and Large Worlds. Chapter 3. Sampling the Imaginary. 4. Geocentric Models. 5. The Many Variables & The Spurious Waffles. 6. The Haunted DAG & The Causal Terror. 7. Ulysses' Compass. 8. Conditional Manatees. 8. Conditional Manatees. 9. Markov Chain Monte Carlo. 10. Big Entropy and the Generalized Linear Model. 11. God Spiked the Integers. 12. Monsters and Mixtures. 13. Models With Memory. 14. Adventures in Covariance. 15. Missing Data and Other Opportunities. 16. Generalized Linear Madness. 17. Horoscopes.
Autoren-Porträt von Richard Mcelreath
Richard McElreath studies human evolutionary ecology and is a Director at the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany. He has published extensively on the mathematical theory and statistical analysis of social behavior, including his first book (with Robert Boyd), Mathematical Models of Social Evolution.
Bibliographische Angaben
- Autor: Richard Mcelreath
- 2020, 2. Auflage, XVII, 593 Seiten, Masse: 18,2 x 25,8 cm, Gebunden, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 036713991X
- ISBN-13: 9780367139919
- Erscheinungsdatum: 16.03.2020
Sprache:
Englisch
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