Conformal Anomaly Detection & Change-Point Detection
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Updated
Nov 3, 2026 - Python
Conformal Anomaly Detection & Change-Point Detection
Prova: probabilistic-statistical variate analysis and inference, nonparametric and with automated MCMC
A Simple and Flexible Test of Sample Exchangeability with Applications to Statistical Genomics
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs
GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings
Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs
A Bayesian statistics monograph built on de Finetti, Sanov and Bayes: exchangeable prediction under moment constraints gives maximum entropy laws, and testing, shrinkage, asymptotics and decision are read on one moderate deviation scale.
Lean formalization of A Sharper Hoeffding Bound for Weighted Sums of Exchangeable Random Variables
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