summary:Part II of the paper aims at providing conditions which may serve as a bridge between existing stability assertions and asymptotic results in probability theory and statistics. Special emphasis is put on functions that are expectations with respect to random probability measures. Discontinuous integrands are also taken into account. The results are illustrated applying them to functions that represent probabilities
Abstract. This note gives the convergence rate in the central limit theorem and the random central l...
In this thesis we define two most common types of convergence of probability measures and show relat...
In this paper we derive limit theorems of some general functions of independent and identically dist...
summary:Part II of the paper aims at providing conditions which may serve as a bridge between existi...
summary:Continuous convergence and epi-convergence of sequences of random functions are crucial assu...
Shapiro and Xu [18] investigated uniform large deviation of a class of HÄolder continuous random fun...
The authors present a concise but complete exposition of the mathematical theory of stable convergen...
AbstractLet S be the space of real cadlag functions on R with finite limits at ±∞, equipped with uni...
In the paper we study sequences of random functions which are defined by some interpolation procedur...
Abstract. The paper extends certain stochastic convergence of sequences of Rk-valued random variable...
Let S be the space of real cadlag functions on R with finite limits at 1, equipped with uniform dist...
In stochastic programming, statistics, or econometrics, the aim is in general the optimization of a ...
Stochastic Convergence, Second Edition covers the theoretical aspects of random power series dealing...
Convergence analysis for optimization problems with chance constraints concerns impact of variation ...
Sequences of Real Numbers and Functions Introduction Sequences of Real Numbers Sequences of Real Fun...
Abstract. This note gives the convergence rate in the central limit theorem and the random central l...
In this thesis we define two most common types of convergence of probability measures and show relat...
In this paper we derive limit theorems of some general functions of independent and identically dist...
summary:Part II of the paper aims at providing conditions which may serve as a bridge between existi...
summary:Continuous convergence and epi-convergence of sequences of random functions are crucial assu...
Shapiro and Xu [18] investigated uniform large deviation of a class of HÄolder continuous random fun...
The authors present a concise but complete exposition of the mathematical theory of stable convergen...
AbstractLet S be the space of real cadlag functions on R with finite limits at ±∞, equipped with uni...
In the paper we study sequences of random functions which are defined by some interpolation procedur...
Abstract. The paper extends certain stochastic convergence of sequences of Rk-valued random variable...
Let S be the space of real cadlag functions on R with finite limits at 1, equipped with uniform dist...
In stochastic programming, statistics, or econometrics, the aim is in general the optimization of a ...
Stochastic Convergence, Second Edition covers the theoretical aspects of random power series dealing...
Convergence analysis for optimization problems with chance constraints concerns impact of variation ...
Sequences of Real Numbers and Functions Introduction Sequences of Real Numbers Sequences of Real Fun...
Abstract. This note gives the convergence rate in the central limit theorem and the random central l...
In this thesis we define two most common types of convergence of probability measures and show relat...
In this paper we derive limit theorems of some general functions of independent and identically dist...