Titlebook: Advances in Modeling and Simulation; Festschrift for Pier Zdravko Botev,Alexander Keller,Bruno Tuffin Book 2022 The Editor(s) (if applicabl

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https://doi.org/10.1057/9781137475473numbers. We restrict ourselves to a one-dimensional continuous state space. We analyze the effect of replacing pseudorandom numbers on . with stratified random points over .: for each point, the first component is used to select a state and the second component is used to advance the chain by one st

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Steve Taylor,Tim Matton-Johnsonand utilizes a strictly monotone map that transforms the given density into a concave or convex function. Hat function and squeezes are then constructed by means of tangents and secant. We present a new method that works for arbitrary one time continuously differentiable densities. It requires toget

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Kundan Singh,Krishna Maheshwarisampling pattern to focus on peaks because peaks can hide more easily in high dimensional space. But, one can automatically determine the sample size, ., given a reasonable, fixed sampling pattern. This approach is pursued in Jagadeeswaran and Hickernell, Stat. Comput., 29:1214–1229, 2019, where a B

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Colonial Girlhood/Colonial Girlspapers, especially in the area of pseudorandom-number generation. This paper is written in that same spirit, covering the foundations of ranking & selection for simulation optimization; simulation optimization is also an area of exceptional accomplishment for Pierre.