Astraios Courses40
hasCourse

Bayesian statistics  

Description

This course introduces Bayesian Statistics, an intuitive approach to Statistics allowing for better accounting of uncertainty. Topics include: subjective probability, Bayes rule, prior and posterior distributions, conjugate and non-informative priors, point-wise estimation and credible intervals, hypothesis testing, introduction to Bayesian decision analysis, introduction to empirical Bayes analysis, introduction to Markov chain Monte Carlo techniques. The course will make use of R statistical programming language for the implementation of algorithms for extracting information from the posterior and for the application of the introduced methods in a range of Data Science problems. Outcome: Not Provided

Delivery mode

Presential
English

Name

Bayesian statistics
English

UNIVERSITY OF TWENTE

Faculty of Geo-Information Science and Earth Observation

Astraios home page

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or HaDEA. Neither the European Union nor the granting authority can be held responsible for them. The statements made herein do not necessarily have the consent or agreement of the ASTRAIOS Consortium. These represent the opinion and findings of the author(s).