Auditory-Nerve
发表于 2025-3-21 17:07:00
书目名称Discrete Stochastic Processes影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0281164<br><br> <br><br>书目名称Discrete Stochastic Processes影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0281164<br><br> <br><br>书目名称Discrete Stochastic Processes网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0281164<br><br> <br><br>书目名称Discrete Stochastic Processes网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0281164<br><br> <br><br>书目名称Discrete Stochastic Processes被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0281164<br><br> <br><br>书目名称Discrete Stochastic Processes被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0281164<br><br> <br><br>书目名称Discrete Stochastic Processes年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0281164<br><br> <br><br>书目名称Discrete Stochastic Processes年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0281164<br><br> <br><br>书目名称Discrete Stochastic Processes读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0281164<br><br> <br><br>书目名称Discrete Stochastic Processes读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0281164<br><br> <br><br>
蜡烛
发表于 2025-3-21 22:17:13
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orthopedist
发表于 2025-3-22 02:10:10
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果仁
发表于 2025-3-22 05:22:19
Finite State Markov Chains,c processes are generally called continuous time processes. The Markov chains to be discussed in this and the next chapter are stochastic processes.only at integer values of time, n = 0, 1,….At each integer time n ≥ 0, there is a random variable X.called the.at time n, and the process is then the fa
不安
发表于 2025-3-22 08:49:11
Markov Chains with Countably Infinite State Spaces, explain how these new types of behavior arise. If p > 1/2, then transitions to the right occur with higher frequency than transitions to the left. Thus, reasoning heuristically, we expect X. to be large for large n. This means that, given X. = 0, the probability P. should go to zero for any fixed j
Blatant
发表于 2025-3-22 14:26:06
Markov Processes with Countable State Spaces,ial distribution, and second, that interval is independent of the next state. Thus, we can take the set of possible states as {0, 1, 2,…} and the process as {X(t),t≥0} where for each real t≥0,X(t) is the state of the process at time t. The random variables S., S.,… denote the successive epochs at wh
Blatant
发表于 2025-3-22 18:08:09
Random Walks and Martingales, n, S, is just a sum of IID random variables, but here, we are more interested in the behavior of the random walk., {S.;n≥1}, and thus in such questions as finding the first n for which S.exceeds some threshold a, or the probability that S.exceeds a for any value of n. Since S.drifts downward with i
慷慨援助
发表于 2025-3-23 01:01:58
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不可救药
发表于 2025-3-23 02:29:56
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Fecundity
发表于 2025-3-23 08:20:32
Robert N. N. Holtzman,Wen C. Yangme) of the experiment is a function of time called a sample function. The sample space is the set of possible sample functions, and the events are subsets of sample functions. Finally, there is a rule for determining the probabilities of the various events. As an example, we might be concerned with