Bayesian Nonparametric Detection of Anomalies in Multivariate Functional Data

arXiv:2606.18412 · stat.ME, stat.ML · Submitted 2026-06-16 · Read on arXiv

Daniel Krasnov, David Stephens

stat.ME, stat.ML

Submitted: 2026-06-16

Comments: 29 pages, 8 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 7× in this paper · explained in 1 episode
• Hyperparameters — 7× in this paper · explained in 2 episodes
• Clustering — 6× in this paper · explained in 2 episodes
• Markov Chain Monte Carlo — 5× in this paper
• Sparsity — 5× in this paper · explained in 5 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Class Imbalance — 3× in this paper · explained in 3 episodes
• Autocorrelation Function (ACF) — 2× in this paper · explained in 2 episodes
• Absorb — 1× in this paper · explained in 1 episode
• Bayes Factor — 1× in this paper · explained in 2 episodes
• Degeneracy — 1× in this paper · explained in 4 episodes
• F1 Score — 1× in this paper · explained in 4 episodes
• False Negatives — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Hilbert Space — 1× in this paper · explained in 2 episodes
• Parameterization — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 9 episodes
• Wavelet Transform — 1× in this paper · explained in 2 episodes

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