Počet záznamov: 1
Multinomial and empirical likelihood under convex constraints
Názov Multinomial and empirical likelihood under convex constraints Podnázov directions of recession, Fenchel duality, the PP algorithm Aut.údaje Marian Grendár, Vladimír Špitalský Autor Grendár Marian 1969- (50%)
Spoluautori Špitalský Vladimír 1973- (50%) UMBFP10 - Katedra matematiky
Zdroj.dok. Electronic Journal of Statistics. Vol. 11, no. 1 (2017), pp. 2547-2612. - [Shaker Heights] : Institute of Mathematical Statistics, 2017 Kľúč.slová contingency tables lineárne modely - linear models estimating equations Jazyk dok. angličtina Krajina Spojené štáty Systematika 51 Anotácia The primal problem of multinomial likelihood maximization restricted to a convex closed subset of the probability simplex is studied. A solution of this problem may assign a positive mass to an outcome with zero count. Such a solution cannot be obtained by the widely used, simplified Lagrange and Fenchel duals. Related flaws in the simplified dual problems, which arise because the recession directions are ignored, are identified and the correct Lagrange and Fenchel duals are developed. Kategória publikačnej činnosti ADC Číslo archívnej kópie 40086 Katal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Báza dát xpca - PUBLIKAČNÁ ČINNOSŤ Odkazy PERIODIKÁ-Súborný záznam periodika 
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Počet záznamov: 1