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Maximal ancestral graphs(MAGs) are used to encode conditional independence relations in DAG models with hidden variables. Di erent MAGs may represent the same set of con-ditional independences and are...
We compare a sample-free method proposed byGargiuloet al.(2010) and a sample-based method proposed byYe et al.(2009) for generating a synthetic population, organised in households, from various statis...
Simulating sample correlation matrices is important in many areas of statistics. Approaches such as generating normal data and finding their sample correlation matrix or generating random uniform $[-1...
We propose a novel model for generating graphs similar to a given example graph. Unlike standard approaches that compute features of graphs in Euclidean space, our approach obtains features on a sur...
In this paper, we present a more direct way to compute the SzeggJacobi parameters from a generating function than that in [S] and [6]. Our study is motivated by the notions of one-mode interacting ...
This paper aims at balancing between characterization and modeling approaches for bivariate extensions of univariate life distributions using reversed hazard rates. The proposed model, a characterized...

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