The intentional use of analytical modeling for refugee resettlement is an emerging area of research. One primary stream uses machine learning to estimate future refugee employment likelihoods based on past refugee placement and outcomes data, that are then integrated as match quality scores...

An intensified hydrologic cycle and a large amount of monitoring flow data in the latter half of the 20th century attracted a lot of research on the continental U.S. hydrologic change. However, most previous studies are based on HCDN (Hydro-Climate Data Network) dataset with a period of ~1950s...

Let {qn, n [greater-or-equal, slanted] 0} be a sequence of positive integers, In = {0, 1, ..., qn}, {Xn, n [greater-or-equal, slanted] 0} a sequence of random variables, where Xn takes on values in In, and P(X1 = x1, ..., Xn = xn) 0, for all xi [epsilon] Ii, 0 [less-than-or-equals, slant] i...

A strong limit theorem on gambling system for Bernoulli sequences is extended to the sequences of arbitrary discrete random variables by using the conditional probabilities. Furthermore, by allowing the selection function to take values in an interval, the conception of random selection is...

Some limit properties of multivariate function sequences of discrete random variables are studied using differentiation of measures on a net and conditional moment generating functions, and some strong limit theorems related to the conditional expectations are obtained.