AbstractA general notion of positive dependence among successive observations in a finite-state stationary process is studied, with particular attention to the case of a stationary ergodic Markov chain. This dependence condition can be expressed as a positivity condition on the joint probability matrices of pairs of observations. Some useful conditions equivalent to positive dependence are obtained for reversible chains, but shown not to be equivalent for nonreversible chains
AbstractWe study dependence between components of multivariate (nice Feller) Markov processes: what ...
In this paper a set of desirable properties for measures of positive dependence of ordered n-tuples...
In this review-type paper written at the occasion of the Oberwolfach workshop One-sided vs. Two-side...
AbstractA general notion of positive dependence among successive observations in a finite-state stat...
In this dissertation, we examine the positive and negative dependence of infinitely divisible distri...
We discuss properties of distributions that are multivariate totally positive of order two (MTP2) re...
International audienceWe study the positive dependence of pairs of stochastic processes and examine ...
Results and conditions that quantify the decrease in dependence with lag for stationary Markov chain...
International audienceIn this paper we study some stochastic orders of positive dependence that aris...
The authors study new notions of positive dependence that are associated to multivariate stochastic ...
AbstractIn this report we relate the property of stochastic boundedness to the existence of stationa...
Conditions under which conditionally independent random variables are positive dependent are describ...
AbstractDependence coefficients have been widely studied for Markov processes defined by a set of tr...
The dissertation which follows is concerned with various aspects of behaviour within a set of state...
AbstractEvery univariate random variable is smaller, with respect to the ordinary stochastic order a...
AbstractWe study dependence between components of multivariate (nice Feller) Markov processes: what ...
In this paper a set of desirable properties for measures of positive dependence of ordered n-tuples...
In this review-type paper written at the occasion of the Oberwolfach workshop One-sided vs. Two-side...
AbstractA general notion of positive dependence among successive observations in a finite-state stat...
In this dissertation, we examine the positive and negative dependence of infinitely divisible distri...
We discuss properties of distributions that are multivariate totally positive of order two (MTP2) re...
International audienceWe study the positive dependence of pairs of stochastic processes and examine ...
Results and conditions that quantify the decrease in dependence with lag for stationary Markov chain...
International audienceIn this paper we study some stochastic orders of positive dependence that aris...
The authors study new notions of positive dependence that are associated to multivariate stochastic ...
AbstractIn this report we relate the property of stochastic boundedness to the existence of stationa...
Conditions under which conditionally independent random variables are positive dependent are describ...
AbstractDependence coefficients have been widely studied for Markov processes defined by a set of tr...
The dissertation which follows is concerned with various aspects of behaviour within a set of state...
AbstractEvery univariate random variable is smaller, with respect to the ordinary stochastic order a...
AbstractWe study dependence between components of multivariate (nice Feller) Markov processes: what ...
In this paper a set of desirable properties for measures of positive dependence of ordered n-tuples...
In this review-type paper written at the occasion of the Oberwolfach workshop One-sided vs. Two-side...