in this paper, we discuss strong laws for weighted sums of pairwise negatively dependent random variables. the results on i.i.d case of soo hak sung [9] are generalized and extended.

In Random Forests [2] several trees are constructed from bootstrapor subsamples of the original data. Random Forests have become very popular, e.g., in the fields of genetics and bioinformatics, because they can deal with high-dimensional problems including complex interaction effects. Conditional Inference Forests [8] provide an implementation of Random Forests with unbiased variable selection...

AMaple package HISTABRUT (available from http://www.math.rutgers.edu/~zeilberg/tokhniot/HISTABRUT) is presented and briefly described. It uses the polynomial ansatz to discover (often fully rigorously, but in some cases only semi-rigorously (yet rigorizably!)) explicit asymptotic formulas for the moments of uni-variate and, more impressively, bi-variate, discrete probability random variables. I...

This is a survey of the main methods in non-uniform random variate generation, and highlights recent research on the subject. Classical paradigms such as inversion, rejection, guide tables, and transformations are reviewed. We provide information on the expected time complexity of various algorithms, before addressing modern topics such as indirectly specified distributions, random processes, a...