International audienceThis paper provides an annotated bibliography for investigations based on or related to divergence measures for statistical data processing and inference problems
AbstractThe problems of estimating parameters of statistical models for categorical data, and testin...
Kullback-Leibler divergence is a leading measure of similarity or dissimilarity of probability distr...
Entropy, divergence and distance measures with econometric applications Aman Ul la
International audienceThis paper provides an annotated bibliography for investigations based on or r...
International audienceThis paper provides an annotated bibliography for investigations based on or r...
International audienceThis paper provides an annotated bibliography for investigations based on or r...
International audienceThis paper provides an annotated bibliography for investigations based on or r...
This note provides a bibliography of investigations based on or related to divergence measures for t...
This note provides a bibliography of investigations based on or related to divergence measures for t...
This note provides a bibliography of investigations based on or related to divergence measures for t...
This note provides a bibliography of investigations based on or related to divergence measures for t...
Data science, information theory, probability theory, statistical learning, statistical signal proce...
Several authors have developed characterization theorems for the directed divergence or information ...
The idea of using functionals of Information Theory, such as entropies or divergences, in statistica...
The problems of estimating parameters of statistical models for categorical data, and testing hypoth...
AbstractThe problems of estimating parameters of statistical models for categorical data, and testin...
Kullback-Leibler divergence is a leading measure of similarity or dissimilarity of probability distr...
Entropy, divergence and distance measures with econometric applications Aman Ul la
International audienceThis paper provides an annotated bibliography for investigations based on or r...
International audienceThis paper provides an annotated bibliography for investigations based on or r...
International audienceThis paper provides an annotated bibliography for investigations based on or r...
International audienceThis paper provides an annotated bibliography for investigations based on or r...
This note provides a bibliography of investigations based on or related to divergence measures for t...
This note provides a bibliography of investigations based on or related to divergence measures for t...
This note provides a bibliography of investigations based on or related to divergence measures for t...
This note provides a bibliography of investigations based on or related to divergence measures for t...
Data science, information theory, probability theory, statistical learning, statistical signal proce...
Several authors have developed characterization theorems for the directed divergence or information ...
The idea of using functionals of Information Theory, such as entropies or divergences, in statistica...
The problems of estimating parameters of statistical models for categorical data, and testing hypoth...
AbstractThe problems of estimating parameters of statistical models for categorical data, and testin...
Kullback-Leibler divergence is a leading measure of similarity or dissimilarity of probability distr...
Entropy, divergence and distance measures with econometric applications Aman Ul la
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