闪烁
发表于 2025-3-21 17:57:22
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谎言
发表于 2025-3-21 20:38:23
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枫树
发表于 2025-3-22 03:42:29
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ENDOW
发表于 2025-3-22 08:10:28
Continuous Time Branching Random Walk,ion on a countable graph (such as . or a homogeneous tree) according to the two following rules. A particle at . waits an exponential random time with rate λ.(., .) > 0 and then gives birth to a particle at .. .(., .) are the transition probabilities of a Markov chain and λ > 0 is a parameter. A par
不安
发表于 2025-3-22 10:42:32
The Contact Process on a Homogeneous Tree,The difference between the two models is that there is at most one particle per site for the contact process while there is no bound in the number of particles per site for branching Markov chains. So, branching Markov chains and the contact process may be thought of as two extreme points in the sam
脾气暴躁的人
发表于 2025-3-22 16:07:20
Lecture Notes in Computer Scienceeing the state of a certain system at time .. Given that . is in some state . then . will be in some state . with a probability denoted by .(.); the transition probabilities .(.) are built in the model. The fact that given . we may compute the distribution of . (we do not need to know the . for . <
脾气暴躁的人
发表于 2025-3-22 19:00:21
Research in Attacks, Intrusions and Defenses assume that the probability that . is in state . is .(.). Can we find a distribution . such that if . has distribution . then ., for all times ., also has distribution .? Such a distribution is said to be stationary for the chain. This chapter deals with the existence of and the convergence to stat
放大
发表于 2025-3-22 22:06:48
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晚来的提名
发表于 2025-3-23 05:23:30
https://doi.org/10.1007/978-3-319-45719-2ion on a countable graph (such as . or a homogeneous tree) according to the two following rules. A particle at . waits an exponential random time with rate λ.(., .) > 0 and then gives birth to a particle at .. .(., .) are the transition probabilities of a Markov chain and λ > 0 is a parameter. A par
Allege
发表于 2025-3-23 06:39:50
Adrian Dabrowski,Georg Petzl,Edgar R. WeipplThe difference between the two models is that there is at most one particle per site for the contact process while there is no bound in the number of particles per site for branching Markov chains. So, branching Markov chains and the contact process may be thought of as two extreme points in the sam