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Analysis of empirical estimates obtained for Gibbs distribution parameters by the maximum likelihood method

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Publication:465954
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DOI10.1007/s10559-013-9514-3zbMath1302.62185OpenAlexW2052175331MaRDI QIDQ465954

O. S. Samosonok

Publication date: 24 October 2014

Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10559-013-9514-3


zbMATH Keywords

parameter estimationstochastic processmaximum likelihood methodMarkov random fieldGibbs distribution


Mathematics Subject Classification ID

Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).


Related Items (3)

An algorithm for estimating the unknown parameter of the Gibbs distribution based on the stochastic quasi-gradient method ⋮ Statistical inference for type I multiply left-censored samples from Weibull distribution ⋮ A model of infectious disease spread with hidden carriers



Cites Work

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  • Properties of empirical estimates in stochastic optimization and identification problems


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