Add to ORKGsummary:This paper deals with four types of point estimators based on minimization of information-th...
The idea of using functionals of Information Theory, such as entropies or divergences, in statistica...
summary:This paper deals with four types of point estimators based on minimization of information-th...
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...
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...
Data science, information theory, probability theory, statistical learning and other related discipl...
Data science, information theory, probability theory, statistical learning, statistical signal proce...
Information and Divergence measures deals with the study of problems concerning information processi...
abstract: Information divergence functions, such as the Kullback-Leibler divergence or the Hellinger...
summary:This paper deals with four types of point estimators based on minimization of information-th...
The idea of using functionals of Information Theory, such as entropies or divergences, in statistica...
summary:This paper deals with four types of point estimators based on minimization of information-th...
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...
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...
Data science, information theory, probability theory, statistical learning and other related discipl...
Data science, information theory, probability theory, statistical learning, statistical signal proce...
Information and Divergence measures deals with the study of problems concerning information processi...
abstract: Information divergence functions, such as the Kullback-Leibler divergence or the Hellinger...
summary:This paper deals with four types of point estimators based on minimization of information-th...
The idea of using functionals of Information Theory, such as entropies or divergences, in statistica...
summary:This paper deals with four types of point estimators based on minimization of information-th...