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Evan Patterson: The algebra of statistical theories and models
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MIT Category Theory Seminar
2020/07/23
©Spifong
Speaker: Evan Patterson
Title: The algebra of statistical theories and models
Abstract:
Using tools from categorical logic, a precise analogy is drawn between models in logic and statistics. The notion of a statistical theory is introduced as a small Markov category with extra linear algebraic structure. Models of statistical theories in a category of Markov kernels are then seen to be statistical models, in the conventional sense. Morphisms between statistical theories, and their induced model migration functors, formalize relationships between different statistical models. These ideas are illustrated by a wide range of models from classical applied statistics, such as linear models, mixed models, and generalized linear models.
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2020/07/23
©Spifong
Speaker: Evan Patterson
Title: The algebra of statistical theories and models
Abstract:
Using tools from categorical logic, a precise analogy is drawn between models in logic and statistics. The notion of a statistical theory is introduced as a small Markov category with extra linear algebraic structure. Models of statistical theories in a category of Markov kernels are then seen to be statistical models, in the conventional sense. Morphisms between statistical theories, and their induced model migration functors, formalize relationships between different statistical models. These ideas are illustrated by a wide range of models from classical applied statistics, such as linear models, mixed models, and generalized linear models.
More videos:
Main page:
Evan Patterson: The algebra of statistical theories and models
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