Zobrazeno 1 - 10
of 44
pro vyhledávání: '"František Matúš"'
Autor:
Peter Harremoës, František Matúš
Publikováno v:
Kybernetika. :1111-1132
The hypergeometric distributions have many important applications, but they have not had sufficient attention in information theory. Hypergeometric distributions can be approximated by binomial distributions or Poisson distributions. In this paper we
Autor:
František Matúš, Aner Ben-Efraim
Publikováno v:
Kybernetika. :934-947
Autor:
František Matúš
Publikováno v:
Combinatorica. 38:935-954
This work studies the classes of matroids that are closed under minors, addition of coloops and principal extensions. To any matroid M in such a class a matroid M° is constructed such that it contains M as a minor, has all proper minors in the class
Autor:
František Matúš
Publikováno v:
Kybernetika. :725-738
The book gathers contributions from the fourth conference on Information Geometry and its Applications, which was held on June 12–17, 2016, at Liblice Castle, Czech Republic on the occasion of Shun-ichi Amari's 80th birthday and was organized by th
Autor:
František Matúš
Publikováno v:
ISIT
An urn containing colored balls is sampled sequentially without replacement. New lower and upper bounds on the conditional and unconditional mutual information, and multi-information are presented. They estimate dependence between drawings in terms o
Autor:
František Matúš, Imre Csiszár
Publikováno v:
ISIT
Integral functionals based on convex normal integrands are minimized over convex constraint sets. Generalized minimizers exist under a boundedness condition. Sequences of the minimization problems are studied when the constraint sets are nested. The
Autor:
František Matúš
Publikováno v:
IEEE Transactions on Information Theory. 55:5375-5381
Maximization of the information divergence from any hierarchical log-linear model is studied. A new upper bound on the maximum is presented and its tightness analyzed. For the models given by the bases of a matroid, the latter is related to matroid r
Autor:
I. Csiszar, František Matúš
Publikováno v:
ISIT
For a standard full exponential family on $$\mathbb R^d$$ , or its canonically convex subfamily, the generalized maximum likelihood estimator is an extension of the mapping that assigns to the mean $$a\in\mathbb R^d$$ of a sample for which a maximize
Autor:
František Matúš
Publikováno v:
Discrete Mathematics. 277:115-145
Semigraphoids are special sets of triples (I,J,K), I,J,K disjoint subsets of a finite set, that mimic conditional independences. New constructions on semigraphoids are introduced, the most crucial being factors and expansions. They are aimed at study