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pro vyhledávání: '"Michl, Patrick"'
Autor:
Michl, Patrick
The increasing application of deep-learning is accompanied by a shift towards highly non-linear statistical models. In terms of their geometry it is natural to identify these models with Riemannian manifolds. The further analysis of the statistical m
Externí odkaz:
http://arxiv.org/abs/2006.04215
Autor:
Michl, Patrick
Exponential families comprise a broad class of statistical models and parametric families like normal distributions, binomial distributions, gamma distributions or exponential distributions. Thereby the formal representation of its probability distri
Externí odkaz:
http://arxiv.org/abs/2004.08909
Autor:
Michl, Patrick
Upon a consistent topological statistical theory the application of structural statistics requires a quantification of the proximity structure of model spaces. An important tool to study these structures are Pseudo-Riemannian metrices, which in the c
Externí odkaz:
http://arxiv.org/abs/2002.07424
Autor:
Michl, Patrick
Topological statistical theory provides the foundation for a modern mathematical reformulation of classical statistical theory: Structural Statistics emphasizes the structural assumptions that accompany distribution families and the set of structure
Externí odkaz:
http://arxiv.org/abs/1912.10266