Rigidity theory in statistical inference
Daniel Irving Bernstein
TL;DR
This paper explores the relationship between rigidity theory and the maximum likelihood thresholds in Gaussian models, providing a comprehensive summary of current knowledge in this area.
Contribution
It offers an expository overview highlighting the connections between rigidity theory and statistical inference in Gaussian models.
Findings
Summarizes known results on maximum likelihood thresholds.
Highlights the role of rigidity theory in statistical inference.
Provides insights into Gaussian model structures.
Abstract
In this expository article, we summarize what is known about maximum likelihood thresholds of Gaussian models, paying special attention to connections with rigidity theory.
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Taxonomy
TopicsStatistical Mechanics and Entropy · Gaussian Processes and Bayesian Inference · Bayesian Methods and Mixture Models