Bayesian Statistics

Mine Çetinkaya-Rundel; David Banks; Colin Rundel; Merlise A Clyde
Grado: debutante
Universidad: Duke University
Plataforma: Coursera
Recurrencia: flexible
Idioma: English
Disciplina: Economics
Asistencia: gratis
Certificado: 71,00 EUR
Carga de trabajo por semana: 5,0 h

This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes’ rule to transform prior probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of the Bayesian paradigm. The course will apply Bayesian methods to several practical problems, to show end-to-end Bayesian analyses that move from framing the question to building models to eliciting prior probabilities to implementing in R (free statistical software) the final posterior distribution. Additionally, the course will introduce credible regions, Bayesian comparisons of means and proportions, Bayesian regression and inference using multiple models, and discussion of Bayesian prediction.

 

Tome este curso


Donar

Este proyecto es presentado por la Network for Pluralist Economics (Netzwerk Plurale Ökonomik e.V.) y socios internacionales.  Está comprometida con la diversidad y la independencia y depende de las donaciones de personas como tú. Donaciones regulares o puntuales serán muy apreciadas.!