In this short note, we prove that the stochastic order of Radon probability measures on any ordered topological space is antisymmetric. This has been known before in various special cases. We give a simple and elementary proof of the general result
In this paper, we describe a theory of a cumulative distribution function on a space with an order f...
Assuming Martin's axiom we show that if X is a dyadic space of weight at most continuum then every R...
In this talk I'll discuss the notion of "invariant random orders", and explain how it can be useful...
We study various partially ordered spaces of probability measures and we determine which of them are...
International audienceWe study various partially ordered spaces of probability measures and we deter...
International audienceIn this paper the meaning of the stochastic ordering relation is studied when ...
We de1ne a new stochastic order for random vectors in terms of the inclusion relation for the Aumann...
The general notion of a stochastic ordering is that one probability distribution is smaller than a s...
This dissertation adds some new results to the theory of stochastic orders. Chapter 1 contains defin...
In a probability space, the partition fiber relative to a probability vector v is the set of all ord...
In this book, the author gives a cohesive account of the theory of probability measures on complete ...
Recently, Bartoszewicz (1999, Statist. Probab. Lett. 42, 207-212), has given characterizations of st...
In this paper, we define the entropy number in probabilistic setting and determine the exact order o...
Let Y1,...,Yn be the order statistics of a simple random sample from a finite or infinite population...
A great number of articles have dealt with stochastic comparisons of ordered random variables in th...
In this paper, we describe a theory of a cumulative distribution function on a space with an order f...
Assuming Martin's axiom we show that if X is a dyadic space of weight at most continuum then every R...
In this talk I'll discuss the notion of "invariant random orders", and explain how it can be useful...
We study various partially ordered spaces of probability measures and we determine which of them are...
International audienceWe study various partially ordered spaces of probability measures and we deter...
International audienceIn this paper the meaning of the stochastic ordering relation is studied when ...
We de1ne a new stochastic order for random vectors in terms of the inclusion relation for the Aumann...
The general notion of a stochastic ordering is that one probability distribution is smaller than a s...
This dissertation adds some new results to the theory of stochastic orders. Chapter 1 contains defin...
In a probability space, the partition fiber relative to a probability vector v is the set of all ord...
In this book, the author gives a cohesive account of the theory of probability measures on complete ...
Recently, Bartoszewicz (1999, Statist. Probab. Lett. 42, 207-212), has given characterizations of st...
In this paper, we define the entropy number in probabilistic setting and determine the exact order o...
Let Y1,...,Yn be the order statistics of a simple random sample from a finite or infinite population...
A great number of articles have dealt with stochastic comparisons of ordered random variables in th...
In this paper, we describe a theory of a cumulative distribution function on a space with an order f...
Assuming Martin's axiom we show that if X is a dyadic space of weight at most continuum then every R...
In this talk I'll discuss the notion of "invariant random orders", and explain how it can be useful...
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