Flexible 发表于 2025-3-21 17:12:54

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狂热文化 发表于 2025-3-21 22:12:19

Intersections and Limits of Regenerative Sets,he term ‘Markov set’, whereas Krylov and Yushkevich use ‘Markov random set’ for a stochastic process related to a regenerative set. Breiman and Kingman focus on the indicator function of ., using the terms ‘renewal process’ and ‘regenerative phenomenon’, respectively. We will stick to ‘regenerative set’.

箴言 发表于 2025-3-22 00:54:04

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cloture 发表于 2025-3-22 04:54:51

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hair-bulb 发表于 2025-3-22 12:30:12

Energy, and Intersections of Markov Chains,ous but simpler problem. Upper bounds will be obtained on intersection probabilities for discrete time Markov chains. This will be applied to obtain a Wiener type test for intersections of random walks within given sets.

myalgia 发表于 2025-3-22 15:46:03

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弯曲的人 发表于 2025-3-22 17:04:33

Metrics on Compositions and Coincidences among Renewal Sequences,n of ... When .. and Y. are jointly independent and identically distributed; the limit is non normal. When .. + … + .. = .. + … + .. is tied down (as in the application to compositions) the limit is normal. Our study was motivated by algorithms for careful approximation of the bootstrap.

ascend 发表于 2025-3-22 23:56:57

Random Processes of the Form ,, = ,,,, + ,,(mod ,)where ,, takes on a Single Value, . > . . log . then . . approaches the uniform distribution for almost all . satisfying the constraints. Furthermore, if . = 2, this paper shows that for certain ., if . . gets close to uniformly distributed, then . > C. log . log log ..

潜移默化 发表于 2025-3-23 02:26:45

Probability Distributions on Cladograms,family of probability distributions on cladograms (“evolutionary trees”) which plays a central role in neutral evolutionary theory. Unfortunately the answer seems to be “no” - see Conjecture 2. But we can embed the two most popular models into an interesting family which we call “beta-splitting” mod

生命层 发表于 2025-3-23 05:47:18

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查看完整版本: Titlebook: Random Discrete Structures; David Aldous,Robin Pemantle Conference proceedings 1996 Springer-Verlag New York, Inc. 1996 Markov chain.Proba