As a part of our works on effective properties of probability distributions,we deal with the corresponding characteristic functions. A sequence ofprobability distributions is computable if and only if the correspondingsequence of characteristic functions is computable. As for the onvergenceproblem, the effectivized Glivenko's theorem holds. Effectivizations ofBochner's theorem and de Moivre-Laplace central limit theorem are also proved
We show that probabilistic computable functions, i.e., those functions outputting distributions and ...
Any notion of effective randomness that is defined with respect to arbitrary computable probability ...
We define and compare several probabilistic notions of computability for mappings from represented s...
We continue our work in [9] on an effective relationship between the sequence of probability distri...
Includes bibliographical references.This paper is concerned with a particularly useful function of p...
We define the computability of probability distributions on the real line as well as that of distrib...
AbstractWhile computability theory on many countable sets is well established and for computability ...
AbstractWe prove a computable version of the de Finetti theorem on exchangeable sequences of real ra...
We prove a uniformly computable version of de Finetti’s theorem on exchangeable sequences of real ra...
AbstractWe study aspects of computability concerning random events and variables in a computable pro...
In this thesis we introduce and study a notion of effectivity (or computability) for test functions ...
Brattka, Miller and Nies [1] showed that some randomness notions are char-acterized by dierentiabili...
International audienceWe show that probabilistic computable functions, i.e., those functions outputt...
We show that probabilistic computable functions, i.e., those functions outputting distributions and ...
We show that probabilistic computable functions, i.e., those functions outputting distributions and ...
We show that probabilistic computable functions, i.e., those functions outputting distributions and ...
Any notion of effective randomness that is defined with respect to arbitrary computable probability ...
We define and compare several probabilistic notions of computability for mappings from represented s...
We continue our work in [9] on an effective relationship between the sequence of probability distri...
Includes bibliographical references.This paper is concerned with a particularly useful function of p...
We define the computability of probability distributions on the real line as well as that of distrib...
AbstractWhile computability theory on many countable sets is well established and for computability ...
AbstractWe prove a computable version of the de Finetti theorem on exchangeable sequences of real ra...
We prove a uniformly computable version of de Finetti’s theorem on exchangeable sequences of real ra...
AbstractWe study aspects of computability concerning random events and variables in a computable pro...
In this thesis we introduce and study a notion of effectivity (or computability) for test functions ...
Brattka, Miller and Nies [1] showed that some randomness notions are char-acterized by dierentiabili...
International audienceWe show that probabilistic computable functions, i.e., those functions outputt...
We show that probabilistic computable functions, i.e., those functions outputting distributions and ...
We show that probabilistic computable functions, i.e., those functions outputting distributions and ...
We show that probabilistic computable functions, i.e., those functions outputting distributions and ...
Any notion of effective randomness that is defined with respect to arbitrary computable probability ...
We define and compare several probabilistic notions of computability for mappings from represented s...