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In this paper, we propose a new Empirical Information Criterion (EIC) for model selection which penalizes the likelihood of the data by a function of the number of parameters in the model. It is designed to be used where there are a large number of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::e064491b0dd981270107f150e3ab8988
http://www.buseco.monash.edu.au/ebs/pubs/wpapers/2003/wp2-03.pdf
http://www.buseco.monash.edu.au/ebs/pubs/wpapers/2003/wp2-03.pdf
