Information and features

Course

Published

(Updated )

University of Vaasa

Bayesian Statistics

5 cr

Face-to-face

Interpretations of Probability. Probabilities as pricing system, De Finetti dutch book argument. Conditional probabilities and Bayes formula. Probability as information and the Bayesian paradigm. The Cox axioms of conditional probability. The likelihood principle. Exponential families of distributions and Conjugate priors. Maximum entropy distributions. Bayesian computational Statistics: Monte Carlo methods, importance sampling and rejection sampling. Markov Chain Monte Carlo. Missing Data and Data augmentation. Bayesian decision theory, Model Choice and Bayes Factors-

Contains

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Additional information and registration

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Additional information:

Fields

Engineering and technology

Scope

5 cr

Code

STAT3190

Organiser

University of Vaasa

University of Vaasa

Contact details

avoinyo@uwasa.fi

029 449 8004

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Change management and analytics