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Divergence (statistics)
IR-IITBHU at TREC 2016 Open Search Track: Retrieving Documents Using Divergence from Randomness Model in Terrier
Subnational Inequality Divergence
A Generalized Divergence for Statistical Inference
Divergence Measures for Statistical Data Processing—An Annotated Bibliography
Robust Hypothesis Testing with Α-Divergence Gokhan¨ Gul,¨ Student Member, IEEE, Abdelhak M
Divergence Tendencies in the European Integration Process: a Danger for the Sustainability of the E(M)U?
GDP PER CAPITA VERSUS MEDIAN HOUSEHOLD INCOME: WHAT GIVES RISE to DIVERGENCE OVER TIME? Brian Nolan, Max Roser, and Stefan
On the Use of Entropy to Improve Model Selection Criteria
Digitizing Omics Profiles by Divergence from a Baseline
Stagnating Median Incomes Despite Economic Growth: Explaining the Divergence in 27 OECD Countries
Lecture 7: Hypothesis Testing and KL Divergence 1 Introducing The
Improved Security Proofs in Lattice-Based Cryptography: Using the Rényi Divergence Rather Than the Statistical Distance
Minimum Description Length Model Selection
Minimum Divergence Estimators, Maximum Likelihood and the Generalized Bootstrap
2.4.8 Kullback-Leibler Divergence
On Representations of Divergence Measures and Related Quantities in Exponential Families
Estimation of Kullback–Leibler Divergence by Local Likelihood
Distances Between Probability Distributions of Different Dimensions
Top View
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
Divergence from Normality
An Information Theoretic Interpretation of Variational Inference Based on the MDL Principle and the Bits-Back Coding Scheme
New Developments in Statistical Information Theory Based on Entropy and Divergence Measures
Minimum Description Length Principle in Supervised
An Akaike Criterion Based on Kullback Symmetric Divergence in the Presence of Incomplete-Data
Technical Notes on Kullback-Leibler Divergence
An Information Criterion for Model Selection with Missing Data Via Complete-Data Divergence
Minimum Description Length Principle
On the Effectiveness of the Skew Divergence for Statistical Language Analysis
The Biostatistics Graduate Program at Boston University (MA/Phd)
Linearly Divergent Treatment Effects in Clinical Trials with Repeated Measures: Efficient Analysis Using Summary Statisticsr
Minimum Description Length Principle
Learning the Information Divergence
An Estimation Method for the Chi-Square Divergence with Application to Test of Hypotheses Michel Broniatowski, Samantha Leorato
Statistical Estimation of the Kullback–Leibler Divergence
Maximum Likelihood Nando De Freitas Outline of the Lecture
Using the Divergence Framework for Randomness: Chic 2013 Lab Report
Unifying Divergence Minimization and Statistical Inference Via Convex Duality
The Minimum Description Length Principle in Model Selection
Hierarchical Testing Using the Power-Divergence Family of Statistics Frederick Martin Medak Iowa State University
Probabilistic Retrieval As Divergence from Randomness
Statistical Inference Based on the Logarithmic Power Divergence
Akaike Information Criterion 1 Maximum
Conic Reformulations for Kullback-Leibler Divergence Constrained Distributionally Robust Optimization and Applications
Evaluation of Some Information Retrieval Models for Gujarati Ad Hoc Monolingual Tasks
Lecture 16 — MLE Under Model Misspecification
Applying the Divergence from Randomness Approach for Content-Only Search in XML Documents
A Divergence Statistic for Industrial Localization
Inference of Divergence Times As a Statistical Inverse Problem
Short Notes on Divergence Measures
Estimating Evolutionary Rates and Divergence Times…. …And a Bit of Model Testing
Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization