Add to ORKGSome properties of weakly approaching sequences of distributions are derived. The notion of weakly approaching sequences is a generalization of the well-known concept of weak convergence, without the need to have a limit distribution. An application to resampling is given.Bootstrap m-dependence Nonstationary random variables Resampling Weakly approaching sequences
This paper establishes the weak convergence of a class of marked empirical processes of possibly non...
A new concept of convergence concerning random probability measure is introduced in order to discuss...
AbstractWeak convergence of probability measures on function spaces has been active area of research...
We introduce the notion of weakly approaching sequences of distributions, which is a generalization ...
© 2014, Pleiades Publishing, Ltd. A new condition for a weak dependence of random variables is deter...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
Weak convergence of probability measures on function spaces has been active area of research in rece...
For bootstrap sample means resulting from a sequence {Xn, n ≥ 1} of random variables, very general w...
We discuss three forms of convergence in distribution which are stronger than the normal weak conver...
We discuss three forms of convergence in distribution which are stronger than the normal weak conver...
This book provides a thorough exposition of the main concepts and results related to various types o...
Recently, statistical convergence has become an active area of research and many articles were publi...
In this work, we investigate consistency properties of normal approximation and block bootstrap appr...
In this thesis we define two most common types of convergence of probability measures and show relat...
This paper establishes the weak convergence of a class of marked empirical processes of possibly non...
A new concept of convergence concerning random probability measure is introduced in order to discuss...
AbstractWeak convergence of probability measures on function spaces has been active area of research...
We introduce the notion of weakly approaching sequences of distributions, which is a generalization ...
© 2014, Pleiades Publishing, Ltd. A new condition for a weak dependence of random variables is deter...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
Weak convergence of probability measures on function spaces has been active area of research in rece...
For bootstrap sample means resulting from a sequence {Xn, n ≥ 1} of random variables, very general w...
We discuss three forms of convergence in distribution which are stronger than the normal weak conver...
We discuss three forms of convergence in distribution which are stronger than the normal weak conver...
This book provides a thorough exposition of the main concepts and results related to various types o...
Recently, statistical convergence has become an active area of research and many articles were publi...
In this work, we investigate consistency properties of normal approximation and block bootstrap appr...
In this thesis we define two most common types of convergence of probability measures and show relat...
This paper establishes the weak convergence of a class of marked empirical processes of possibly non...
A new concept of convergence concerning random probability measure is introduced in order to discuss...
AbstractWeak convergence of probability measures on function spaces has been active area of research...