Debility
发表于 2025-3-26 22:10:00
https://doi.org/10.1007/978-1-4614-4057-4Autoregressive model; Brownian Motion; Markov chain; Stochastic process
伙伴
发表于 2025-3-27 04:23:27
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昆虫
发表于 2025-3-27 06:36:01
Branching Processes,tion. Each of these members, before dying, leaves behind a random (possibly zero) number of offspring. This is repeated by the offspring themselves, from generation to generation, leading to either a population explosion or its ultimate extinction.
thwart
发表于 2025-3-27 13:26:28
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FLUSH
发表于 2025-3-27 17:20:31
Birth-and-Death Processes II,or studying only their . behavior. Specifically, we are interested in finding either the corresponding stationary distribution or, when state 0 is absorbing (e.g., a population can go extinct), the probability of ultimate extinction.
可行
发表于 2025-3-27 20:39:39
Autoregressive Models,ns; a more distant past becomes irrelevant. We also discuss the issue of parameter estimation (unique to this chapter). The resulting theory can be applied to model random daily fluctuations (but not systematic or seasonal trends) of a stock market and similar situations.
使入迷
发表于 2025-3-28 00:12:25
0172-5939 ock University in St Catharines, Ontario, Canada, since 1982.. .Paul Vrbik is currently a PhD candidate in Computer Science at the University of Western Ontario in London, Ontario, Canada....978-1-4614-4056-7978-1-4614-4057-4Series ISSN 0172-5939 Series E-ISSN 2191-6675
Junction
发表于 2025-3-28 04:13:20
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locus-ceruleus
发表于 2025-3-28 10:17:17
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Commentary
发表于 2025-3-28 13:00:30
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