Overview
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Name
Bayesian Data Analysis and Probabilistic Programming
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ECTS
3.0
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Languages
Italian
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Duration
1 semester
Bayesian Data Analysis and Probabilistic Programming
SUPSI Course Overview
Course Text Info
Course Text Info
Course Text Info
Understand how to model prior information when doing data analysis.
Understand how to update a prior distribution based on new evidence.
Learn some fundamental cases in which the update can be done analytically.
Be able to implement the update using probabilistic programming for analyzing real-world data sets.
Understand how to update a prior distribution based on new evidence.
Learn some fundamental cases in which the update can be done analytically.
Be able to implement the update using probabilistic programming for analyzing real-world data sets.
Course FB Modules List
Courses List
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Async. Bayesian Data Analysis and Probabilistic Programming
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Bayesian Data Analysis and Probabilistic Programming
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Ex. Bayesian Data Analysis and Probabilistic Programming
Course Text Info
SUPSI Course Responsibles
Giorgio Corani
Professore in statistica applicata e data scienze - Department of Innovative Technologies