Open AccessBook
An Introduction to Probability Theory and Its Applications, Volume II
Frank E. Grubbs,William Feller +1 more
- 01 Jan 1971
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About: The article was published on 01 Jan 1971. and is currently open access. The article focuses on the topics: Law of the unconscious statistician & Convolution of probability distributions.
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Citations
A Rate for the Erdős-Turán Law*
Andrew Barbour,Simon Tavaré +1 more
TL;DR: A sharp error estimate is provided for the approximation of the Erdős-Turan law, showing that, if the mean of the approximating normal distribution is slightly adjusted, the error is of order log −1/2 n.
Simulating GI/GI/1 queues and insurance risk processes with subexponential distributions
Nam Kyoo Boots,Perwez Shahabuddin +1 more
- 10 Dec 2000
TL;DR: An approach is described that is based on directly simulating the random walk associated with the waiting-time process of the GI/GI/1 queue, using a change of measure called delayed subex-potential twisting: an importance sampling idea recently developed and found useful in the context of M/ GI/1 heavy tailed simulations.
Families of finite sets satisfying an intersection condition
TL;DR: In this article, the following theorem is proved: for a finite set of cardinality n ≥ 2, and a family of subsets of the set, the equality holds if and only if for two different elements x, y of X, F = { F ⊆ X | x ∈ F, y ∈ X }.
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Randomized path coloring on binary trees
TL;DR: This paper defines the class of greedy algorithms that use randomization and obtains the first randomized algorithm for the problem that uses at most 7l/5 + o(l) colors for coloring any set of paths of maximum load l on binary trees of depth O(l1/3-e), with high probability.
27
Asymptotically optimal amplifiers for the Moran process
Leslie Ann Goldberg,John Lapinskas,Johannes Lengler,Florian Meier,Konstantinos Panagiotou,Pascal Pfister +5 more
TL;DR: In this paper, the authors studied the Moran process on digraphs and showed that it is optimal, up to logarithmic factors, for any strongly connected n-vertex digraph with extinction probability Ω ( n − 1 / 2 ).
27
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