Stochastic optimization methods for structure learning in Gaussian graphical models and the general log-determinant optimization

Graphical models compactly represent the most significant interactions of multivariate probability distributions, provide an efficient inference framework to answer challenging statistical queries, and incorporate both expert knowledge with data to extract information from complex systems. When the...

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Detalhes bibliográficos
Autor principal: Wu, Songwei
Outros Autores: Justin Dauwels
Formato: Thesis-Doctor of Philosophy
Idioma:English
Publicado em: Nanyang Technological University 2020
Assuntos:
Acesso em linha:https://hdl.handle.net/10356/142033