Suppose one wishes to compare two closely related systems via stochastic simulation. Common random numbers (CRN) involves using the same streams of uniform random variates as inputs for both systems to sharpen the comparison. One can view CRN as a particular choice of copula that gives the joint distribution of the inputs of both systems. We discuss the possibility of using more general copulae, including simple examples that show how this can outperform CRN.
Abstract. A natural way to represent a 1-D probability distribution is to store its cumulative distr...
International audienceWe consider two random vectors X and Y, such that the components of X are domi...
Abstract. A natural way to represent a 1-D probability distribution is to store its cumulative distr...
The paper is devoted to stochastic comparisons of series and parallel systems with vectors of compon...
In this thesis, I examine several situations in which one can improve the efficiency of a stochastic...
AbstractA recently proposed method for the pairwise comparison of arbitrary independent random varia...
A general framework for describing the transitivity of probabilistic relations is presented. A proce...
We connect copula properties with stochastic comparisons between order statistics (k-out-of-n system...
We prove that different conditional distributions can be represented as distorted distributions. The...
SMPS 2010: 5th Soft Methods in Probability and Statistics, September-October 2010, Oviedo, Spai
We propose a test procedure to compare simultaneously K copulas, with K ≥ 2. The K observed populati...
AbstractGiven a collection of random variables, we build a probabilistic relation that, in the case ...
Copula model selection is an important problem because similar but differing copula models can offer...
The present work addresses the question how sampling algorithms for commonly applied copula models c...
Two simple variance reduction techniques are discussed, viz. antithetic variates and common random n...
Abstract. A natural way to represent a 1-D probability distribution is to store its cumulative distr...
International audienceWe consider two random vectors X and Y, such that the components of X are domi...
Abstract. A natural way to represent a 1-D probability distribution is to store its cumulative distr...
The paper is devoted to stochastic comparisons of series and parallel systems with vectors of compon...
In this thesis, I examine several situations in which one can improve the efficiency of a stochastic...
AbstractA recently proposed method for the pairwise comparison of arbitrary independent random varia...
A general framework for describing the transitivity of probabilistic relations is presented. A proce...
We connect copula properties with stochastic comparisons between order statistics (k-out-of-n system...
We prove that different conditional distributions can be represented as distorted distributions. The...
SMPS 2010: 5th Soft Methods in Probability and Statistics, September-October 2010, Oviedo, Spai
We propose a test procedure to compare simultaneously K copulas, with K ≥ 2. The K observed populati...
AbstractGiven a collection of random variables, we build a probabilistic relation that, in the case ...
Copula model selection is an important problem because similar but differing copula models can offer...
The present work addresses the question how sampling algorithms for commonly applied copula models c...
Two simple variance reduction techniques are discussed, viz. antithetic variates and common random n...
Abstract. A natural way to represent a 1-D probability distribution is to store its cumulative distr...
International audienceWe consider two random vectors X and Y, such that the components of X are domi...
Abstract. A natural way to represent a 1-D probability distribution is to store its cumulative distr...