Statistical Rethinking - Richard McElreath
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. This unique computational approach ensures that you understand enough of the details to make reasonable choices and interpretations in you… Celý popis ↓
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Statistical Rethinking - Richard McElreath
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. This unique computational approach ensures that you understand enough of the details to make reasonable choices and interpretations in your own modeling work.The text presents causal inference and generalized linear multilevel models from a simple Bayesian perspective that builds on information theory and maximum entropy. 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.
It also presents measurement error, missing data, and Gaussian process models for spatial and phylogenetic confounding.The second edition emphasizes the directed acyclic graph The core material ranges from the basics of regression to advanced multilevel models.
Parametre
- Výrobca
- Taylor & Francis Ltd
- Autor
- Richard McElreath
- Počet strán
- 594
- Rok vydania
- 2020
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