Add to ORKGThis note provides a bibliography of investigations based on or related to divergence measures for theoretical and applied inference problems
In this work, we introduce new series of divergence measures as a family of Csiszar’s functional div...
AbstractThe problems of estimating parameters of statistical models for categorical data, and testin...
Version 17/04/2008 This article compares traditional Model Selection Criteria with the recently prop...
This note provides a bibliography of investigations based on or related to divergence measures for t...
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...
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...
Data science, information theory, probability theory, statistical learning, statistical signal proce...
The idea of using functionals of Information Theory, such as entropies or divergences, in statistica...
Several authors have developed characterization theorems for the directed divergence or information ...
The problems of estimating parameters of statistical models for categorical data, and testing hypoth...
In this work, we introduce new series of divergence measures as a family of Csiszar’s functional div...
AbstractThe problems of estimating parameters of statistical models for categorical data, and testin...
Version 17/04/2008 This article compares traditional Model Selection Criteria with the recently prop...
This note provides a bibliography of investigations based on or related to divergence measures for t...
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...
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...
Data science, information theory, probability theory, statistical learning, statistical signal proce...
The idea of using functionals of Information Theory, such as entropies or divergences, in statistica...
Several authors have developed characterization theorems for the directed divergence or information ...
The problems of estimating parameters of statistical models for categorical data, and testing hypoth...
In this work, we introduce new series of divergence measures as a family of Csiszar’s functional div...
AbstractThe problems of estimating parameters of statistical models for categorical data, and testin...
Version 17/04/2008 This article compares traditional Model Selection Criteria with the recently prop...