17 citations · 67 across the 20 of their papers we have counts for
19 papers
Multinomial and empirical likelihood under convex constraints: directions of recession, Fenchel duality, perturbations
Marian Grendár, Vladimír Špitalský
The primal problem of multinomial likelihood maximization restricted to a convex closed subset of the probability simplex is studied. Contrary to widely held belief, a solution of…
Strong laws for recurrence quantification analysis
Marian Grendár, Jana Majerová, Vladimír Špitalský
The recurrence rate and determinism are two of the basic complexity measures studied in the recurrence quantification analysis. In this paper, the recurrence rate and determinism a…
Spam filtering by quantitative profiles
M. Grendár, J. Škutová, V. Špitalský
Instead of the 'bag-of-words' representation, in the quantitative profile approach to spam filtering and email categorization, an email is represented by an m-dimensional vector of…
Is the p-value a good measure of evidence? An asymptotic consistency criterion
M. Grendar
What are the criteria that a measure of statistical evidence should satisfy? It is argued that a measure of evidence should be consistent. Consistency is an asymptotic criterion: t…
Generalized Maxwell-Boltzmann, Bose-Einstein, Fermi-Dirac and Acharya-Swamy Statistics and the Polya Urn Model
Robert K. Niven, Marian Grendar
Generalized probability distributions for Maxwell-Boltzmann, Bose-Einstein and Fermi-Dirac statistics, with unequal source probabilities for each level , are obtained by c…
Maximum Probability and Relative Entropy Maximization. Bayesian Maximum Probability and Empirical Likelihood
M. Grendar
Works, briefly surveyed here, are concerned with two basic methods: Maximum Probability and Bayesian Maximum Probability; as well as with their asymptotic instances: Relative Entro…