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On Using Hellinger Distance in Checking the Validity of Dynamic Approximations

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Publication:5172785
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DOI10.1080/03610926.2012.721915zbMath1308.65017OpenAlexW2053836594MaRDI QIDQ5172785

Ali S. Gargoum

Publication date: 5 February 2015

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2012.721915


zbMATH Keywords

algorithmHellinger distanceBayesian forecastingdynamic models


Mathematics Subject Classification ID

Approximations to statistical distributions (nonasymptotic) (62E17)


Related Items (2)

Modeling aggregation processes of Lennard-Jones particles via stochastic networks ⋮ SOME NEW PROPERTIES OF HELLINGER DISTANCE FOR VALIDATING APPROXIMATIONS IN BAYESIAN ANALYSIS



Cites Work

  • Bayesian forecasting and dynamic models.




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