Statistical rethinking a Bayesian course with examples in R and Stan
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....
Other Authors: | |
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Format: | eBook |
Language: | Inglés |
Published: |
Boca Raton :
Chapman & Hall/CRC
2020.
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Edition: | Second edition |
Series: | Texts in statistical science.
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Subjects: | |
See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631040806719 |
Table of Contents:
- The Golem of Prague
- Small worlds and large worlds
- Sampling the imaginary
- Geocentric models
- The many variables & the spurious waffles
- The haunted DAG & the causal terror
- Ulysses' compass
- Conditional manatees
- Markov chain Monte Carlo
- Big entropy and the generalized linear model
- God spiked the integers
- Monsters and mixtures
- Models with memory
- Adventures in covariance
- Missing data and other opportunities
- Generalized linear madness
- Horoscopes.