Divergence (statistics)
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- Divergence, Big Time Author(S): Lant Pritchett Source: the Journal of Economic Perspectives, Vol
- A New Lower Bound for Kullback-Leibler Divergence Based on Hammersley-Chapman-Robbins Bound Tomohiro Nishiyama Email: [email protected]
- An Information Criterion for Model Selection with Missing Data Via Complete-Data Divergence
- Minimum Divergence Estimators, Maximum Likelihood and the Generalized Bootstrap Michel Broniatowski
- A Divergence Formula for Randomness and Dimension
- Minimum Phi-Divergence Estimators and Phi-Divergence Test Statistics in Contingency Tables with Symmetry Structure: an Overview
- Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction
- Statistical Distances and Probability Metrics for Multivariate Data, Ensembles and Probability Distributions
- Convergence and Divergence
- Model Selection Criteria Using Divergences
- Minimum Description Length Induction, Bayesianism, and Kolmogorov Complexity Paul M
- Divergence Measures for Statistical Data Processing Michèle Basseville
- Minimax Optimal Estimation of KL Divergence for Continuous Distributions Puning Zhao and Lifeng Lai
- Nonparametric Estimation of the Likelihood Ratio and Divergence Functionals
- The Global Productivity Slowdown, Technology Divergence and Public Policy: a Firm Level Perspective
- Understanding the Historic Divergence Between Productivity and a Typical Worker's
- Properties of a Generalized Divergence Related to Tsallis
- Lecture 13: Minimum Description Length Lecturer: Aarti Singh Scribes: Aarti Singh