Statistical rethinking : a Bayesian course with examples in R and Stan

Statistical rethinking a Bayesian course with examples in R and Stan

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually a...

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Detalles Bibliográficos
Autor Corporativo: CRC Press (-)
Otros Autores: McElreath, Richard, 1973- author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, FL : CRC Press, an imprint of Chapman and Hall/CRC [2018].
Edición:First edition
Colección:Texts in statistical science.
Materias:
Bayesian statistical decision theory.
R (Computer program language)
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009748840106719
Tabla de Contenidos:
  • chapter 1 The Golem of Prague / Richard McElreath
  • chapter 2 Small Worlds and Large Worlds / Richard McElreath
  • chapter 3 Sampling the Imaginary / Richard McElreath
  • chapter 4 Linear Models / Richard McElreath
  • chapter 5 Multivariate Linear Models / Richard McElreath
  • chapter 6 Overfitting, Regularization, and Information Criteria / Richard McElreath
  • chapter 7 Interactions / Richard McElreath
  • chapter 8 Markov Chain Monte Carlo / Richard McElreath
  • chapter 9 Big Entropy and the Generalized Linear Model / Richard McElreath
  • chapter 10 Counting and Classification / Richard McElreath
  • chapter 11 Monsters and Mixtures / Richard McElreath
  • chapter 12 Multilevel Models / Richard McElreath
  • chapter 13 Adventures in Covariance / Richard McElreath
  • chapter 14 Missing Data and Other Opportunities / Richard McElreath
  • chapter 15 Horoscopes / Richard McElreath.

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