Interpreting Kullback–Leibler divergence with the Neyman–Pearson lemma

2006/07/08 by Shinto Eguchi, John Copas, J. B. Copas · 3 citations
Mathematics · Physics and Astronomy · Computer Science · #Advanced Statistical Methods and Models #Statistical Mechanics and Entropy #Bayesian Modeling and Causal Inference

paper · doi:10.1016/j.jmva.2006.03.007

Citations

• On Information and Sufficiency

Cited by

• Collaborative Learning with Multiple Foundation Models for Source-Free Domain Adaptation
• Using the rejection sampling for finding tests
• Application of Kullback-Leibler divergence for short-term user interest detection