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This paper introduces the R package WRS2 that implements various robust statistical methods. It elaborates on the basics of… Expand We propose a general methodology for the construction and analysis of essentially minimax estimators for a wide class of… Expand Deep belief networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently… Expand Summary. A new test is proposed comparing two multivariate distributions by using distances between observations. Unlike earlier… Expand Currently, there is an important debate about the relative merits of models with discrete and continuous representations of… Expand The traditional definition of a confidence interval requires the coverage probability at any value of the parameter to be at… Expand k−2 � 1 − xb−k � � dx� . Call this process a � -coalescent. Discrete measure-valued processes derived from the � -coalescent… Expand The Blackwell-MacQueen description of sampling from a Dirichlet random distribution on an abstract space is reviewed, and… Expand This paper examines the partial orderings of discrete distributions derived from various poverty indices and sets of welfare… Expand Non-observability of events. Certain types of events, although they occur may be unascertainable and the observed distribution… Expand