Probabilistic Graphical Models Graphical models provide a way of modeling high dimensional random structures and have found wide applications. The popular Hidden Markov Models, Markov Random fields. LDA, fall within this framework. A graphical model is a graph whose nodes are random variables. The graphical model formalism uses the structure of the graph to code independence relations. The goal of this course is to provide a systematic introduction to the underlying probability and statistical issues Some of the topics that will be covered are :

References



Probabilistic Graphical Models Graphical models provide a way of modeling high dimensional random structures and have found wide applications. The popular Hidden Markov Models, Markov Random fields. LDA, fall within this framework. A graphical model is a graph whose nodes are random variables. The graphical model formalism uses the structure of the graph to code independence relations. The goal of this course is to provide a systematic introduction to the underlying probability and statistical issues Some of the topics that will be covered are :

References


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Last updated: 22 Jun 2024