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  • Search: subject:"Kullback-Leibler divergence measure"
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Year of publication
Subject
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Kullback-Leibler divergence measure 2 Kullback–Leibler divergence measure 2 Bayesian Networks 1 Cox’s test 1 Discretization 1 Encompassing 1 Log-normal 1 Minimum ϕ-divergence estimator 1 Model selection 1 Multinomial sampling 1 Non-nested hypotheses 1 Polytomous regression model 1 Primary 62H15 1 Rényi information measure 1 Secondary 62H17 1 Stochastic simulation 1 Theil index 1 Weighted distribution 1
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Online availability
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Free 2 Undetermined 2
Type of publication
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Article 2 Book / Working Paper 2
Language
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Undetermined 4
Author
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Economou, Polychronis 1 Gupta, A. 1 Kasturiratna, D. 1 Marella, Daniela 1 Mezzini, Mauro 1 Nguyen, T. 1 Pardo, L. 1 Pesaran, M. H. 1 Tzavelas, George 1 Vicard, Paola 1 Weeks, M. 1
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Institution
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Dipartimento di Economia, Università degli Studi di Roma 3 1 Faculty of Economics, University of Cambridge 1
Published in...
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Cambridge Working Papers in Economics 1 Departmental Working Papers of Economics - University 'Roma Tre' 1 Statistical Methods and Applications 1 Statistics & Probability Letters 1
Source
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RePEc 4
Showing 1 - 4 of 4
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Improving Discretization Exploiting Dependence Structure
Marella, Daniela; Mezzini, Mauro; Vicard, Paola - Dipartimento di Economia, Università degli Studi di Roma 3 - 2015
discretizing the continuous variables. In this paper we propose a discretization algorithm based on the Kullback-Leibler divergence … measure. Formally, we deal with the problem of discretizing a continuous variable Y conditionally on its parents. We show that …
Persistent link: https://www.econbiz.de/10011124480
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Characterization properties of the log-normal distribution obtained with the help of divergence measures
Tzavelas, George; Economou, Polychronis - In: Statistics & Probability Letters 82 (2012) 10, pp. 1837-1840
The aim of this work is to provide some characterization properties of the log-normal distribution with the help of divergence measures between a probability density function f and its r-size weighted counterpart fr. The characterization can be expressed in terms the Kullback–Leibler, the...
Persistent link: https://www.econbiz.de/10010597165
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Non-nested Hypothesis Testing: An Overview
Pesaran, M. H.; Weeks, M. - Faculty of Economics, University of Cambridge - 1999
In econometric analysis, non-nested models arise naturally when rival economic theories are used to explain the same phenomenon, such as unemployment, inflation or output growth. The authors examine the problem of hypothesis testing when the models under consideration are ‘non-nested’ or...
Persistent link: https://www.econbiz.de/10005489349
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A New Family of BAN Estimators for Polytomous Logistic Regression Models based on ϕ- Divergence Measures
Gupta, A.; Kasturiratna, D.; Nguyen, T.; Pardo, L. - In: Statistical Methods and Applications 15 (2006) 2, pp. 159-176
Persistent link: https://www.econbiz.de/10005369224
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