seminars:stat:aug282025
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| seminars:stat:aug282025 [2025/08/25 15:30] – created mhu7 | seminars:stat:aug282025 [2025/08/25 15:31] (current) – mhu7 | ||
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| + | Algebraic Statistics is an emerging field of research that uses techniques from Algebraic Geometry, Combinatorics and Commutative Algebra to enhance our understanding of statistical and causal inference problems. A key area of research in this field is the Gaussian graphical models, where the dependence structure between jointly normal random variables is determined by a graph. In this talk, I will present the problem of structural identifiability and causal discovery in Gaussian graphical models. Specifically, | ||
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