Deviance-style normalization for jointly overdispersed counts

arXiv:2606.26061 · stat.ME, math.ST, q-bio.QM, stat.ML · Submitted 2026-06-24 · Read on arXiv

Akshay Balsubramani

stat.ME, math.ST, q-bio.QM, stat.ML

Submitted: 2026-06-24

Comments: 82 pages, 20 figures

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

Terminology

Composition — 119× in this paper · explained in 2 episodes
Sparsity — 53× in this paper · explained in 5 episodes
Calibration — 45× in this paper · explained in 9 episodes
Benchmark — 41× in this paper · explained in 2 episodes
Accuracy — 29× in this paper · explained in 1 episode
Ablation — 12× in this paper · explained in 1 episode
Clustering — 11× in this paper · explained in 2 episodes
Coherence — 11× in this paper · explained in 2 episodes
Abundance — 10× in this paper · explained in 1 episode
Parameterization — 9× in this paper · explained in 2 episodes
AUC — 8× in this paper · explained in 2 episodes
Regularization — 8× in this paper · explained in 3 episodes
Residualization — 8× in this paper · explained in 2 episodes
Absorb — 7× in this paper · explained in 1 episode
Generative Model — 6× in this paper · explained in 2 episodes
Inflation — 6× in this paper · explained in 2 episodes
Embeddings — 5× in this paper · explained in 2 episodes
Core — 4× in this paper · explained in 2 episodes
Robustness — 4× in this paper · explained in 6 episodes
Decoupling — 3× in this paper · explained in 2 episodes
Feature Selection — 3× in this paper · explained in 4 episodes
Hyperparameters — 3× in this paper · explained in 2 episodes
Overfitting — 3× in this paper · explained in 2 episodes
Conformal Prediction — 2× in this paper · explained in 11 episodes
Generalization — 2× in this paper · explained in 14 episodes
Graceful Degradation — 2× in this paper · explained in 3 episodes
Monotonicity — 2× in this paper · explained in 2 episodes
Ontology — 2× in this paper · explained in 2 episodes
Parsimony — 2× in this paper · explained in 2 episodes
Spectral Clustering — 2× in this paper · explained in 3 episodes
Split Conformal Prediction — 2× in this paper · explained in 4 episodes
Verification — 2× in this paper · explained in 2 episodes
Active Learning — 1× in this paper · explained in 6 episodes
Adam — 1× in this paper · explained in 3 episodes
Asymptotic Normality — 1× in this paper · explained in 2 episodes
Augmentation — 1× in this paper · explained in 2 episodes
Benchmarking — 1× in this paper · explained in 4 episodes
Consistency — 1× in this paper · explained in 3 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Fisher Information — 1× in this paper · explained in 4 episodes
Generative Modeling — 1× in this paper · explained in 3 episodes
Generator — 1× in this paper · explained in 2 episodes
Kullback–Leibler Divergence — 1× in this paper · explained in 2 episodes
Mutual Information — 1× in this paper · explained in 2 episodes
Papers — 1× in this paper · explained in 3 episodes
Provenance — 1× in this paper · explained in 5 episodes
Representation Learning — 1× in this paper · explained in 3 episodes
Sufficiency — 1× in this paper · explained in 2 episodes
Trace — 1× in this paper · explained in 2 episodes
Uncertainty Quantification — 1× in this paper · explained in 9 episodes

Sources

Fast MLE Computation for the Dirichlet Multinomial

Terminology

Sources

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