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Abstract page for arXiv paper 1710.05260: Equivalence between tails, Grand Lebesgue Spaces and Orlicz norms for random variables without Cramer's condition https://mpra.ub.uni-muenchen.de/64137/ Random Variables, Their Properties, and Deviational Ellipses: In Map Point and Excel, v 4.0 Munich... https://ocw.mit.edu/courses/18-600-probability-and-random-variables-fall-2019/resources/mit18_600f19_mid2_2014/ Spring 2014 18.440 Midterm Exam 2 | Probability and Random Variables | Mathematics | MIT... MIT OpenCourseWare is a web based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity https://spiral.imperial.ac.uk/entities/publication/5018fb32-0e45-4557-84b0-579c26e7f444 A Cartesian closed category for random variables We present a novel, yet rather simple construction within the traditional framework of Scott domains to provide semantics to probabilistic programming, thus... cartesianclosedcategoryrandomvariables