SORB
发表于 2025-3-21 17:53:08
书目名称Continuous-Time Markov Chains影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0237042<br><br> <br><br>书目名称Continuous-Time Markov Chains影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0237042<br><br> <br><br>书目名称Continuous-Time Markov Chains网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0237042<br><br> <br><br>书目名称Continuous-Time Markov Chains网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0237042<br><br> <br><br>书目名称Continuous-Time Markov Chains被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0237042<br><br> <br><br>书目名称Continuous-Time Markov Chains被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0237042<br><br> <br><br>书目名称Continuous-Time Markov Chains年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0237042<br><br> <br><br>书目名称Continuous-Time Markov Chains年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0237042<br><br> <br><br>书目名称Continuous-Time Markov Chains读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0237042<br><br> <br><br>书目名称Continuous-Time Markov Chains读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0237042<br><br> <br><br>
Harass
发表于 2025-3-21 23:08:21
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seduce
发表于 2025-3-22 00:37:39
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Memorial
发表于 2025-3-22 06:59:53
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过时
发表于 2025-3-22 10:52:31
https://doi.org/10.1007/978-3-322-94806-9f (1.1) depends only on . − ., and not on . and . individually, we say that the process . is homogeneous, or has stationary transition probabilities. In this case, then, ., and the function . is called the transition function of the process.
Pathogen
发表于 2025-3-22 12:56:39
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Pathogen
发表于 2025-3-22 17:52:45
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daredevil
发表于 2025-3-22 22:44:00
0172-7397 raphy, epidemiology, and competing populations. This is the first book about those aspects of the theory of continuous time Markov chains which are useful in applications to such areas. It studies continuous time Markov chains through the transition function and corresponding q-matrix, rather than s
FOIL
发表于 2025-3-23 02:43:52
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Mutter
发表于 2025-3-23 08:52:48
Existence and Uniqueness of ,-Functions,-step transition matrix .. Furthermore, the one-step transition probabilities .. have very obvious meaning in terms of the process being modeled by the Markov chain, and are easily estimated from observations of the process.