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標(biāo)題: Titlebook: Continuous-Time Markov Chains; An Applications-Orie William J. Anderson Book 1991 Springer-Verlag New York Inc. 1991 Branching process.Mark [打印本頁]

作者: SORB    時(shí)間: 2025-3-21 17:53
書目名稱Continuous-Time Markov Chains影響因子(影響力)




書目名稱Continuous-Time Markov Chains影響因子(影響力)學(xué)科排名




書目名稱Continuous-Time Markov Chains網(wǎng)絡(luò)公開度




書目名稱Continuous-Time Markov Chains網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Continuous-Time Markov Chains被引頻次




書目名稱Continuous-Time Markov Chains被引頻次學(xué)科排名




書目名稱Continuous-Time Markov Chains年度引用




書目名稱Continuous-Time Markov Chains年度引用學(xué)科排名




書目名稱Continuous-Time Markov Chains讀者反饋




書目名稱Continuous-Time Markov Chains讀者反饋學(xué)科排名





作者: Harass    時(shí)間: 2025-3-21 23:08

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作者: Memorial    時(shí)間: 2025-3-22 06:59

作者: 過時(shí)    時(shí)間: 2025-3-22 10:52
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.
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作者: daredevil    時(shí)間: 2025-3-22 22:44
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
作者: FOIL    時(shí)間: 2025-3-23 02:43

作者: Mutter    時(shí)間: 2025-3-23 08:52
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.
作者: 珊瑚    時(shí)間: 2025-3-23 12:37
Continuous-Time Markov Chains978-1-4612-3038-0Series ISSN 0172-7397 Series E-ISSN 2197-568X
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作者: heart-murmur    時(shí)間: 2025-3-23 18:30

作者: 吞吞吐吐    時(shí)間: 2025-3-24 00:19
https://doi.org/10.1007/978-3-322-94806-9called a continuous-time parameter Markov chain if for any finite set . of “times,” and corresponding set . of states in . such that ., we have . Equation (1.1) is called the Markov property. If for all ., . such that . and all .,. ε . the conditional probability . appearing on the right-hand side o
作者: Hippocampus    時(shí)間: 2025-3-24 05:02
Produktion und Unternehmungsformen such a stochastic process is uniquely determined by the one-step transition matrix . whose .,.th component is ., and an initial distribution vector ., whose .th component is .. Every probability involving the random variables of this chain can be determined from the finite-dimensional distributions
作者: 輕快帶來危險(xiǎn)    時(shí)間: 2025-3-24 09:35

作者: AND    時(shí)間: 2025-3-24 10:50
Renate Neub?umer,Brigitte Hewelpect convergence of .(.) to the ergodic limits π.? We shall study two special types of ergodicity, the so-called strong ergodicity and exponential ergodicity. Of course, our main interest is always to characterize these properties in terms of the . matrix.
作者: myopia    時(shí)間: 2025-3-24 17:37
,Konstruktive Ger?uschminderungsma?nahmen,ent the birth and death .-matrix of (3.2.1) given by.,where . is a set of birth-death parameters. Note again that . is conservative if and only if . = 0, and that if .. > 0, we are allowing the process to jump from state 0 directly to an absorbing state which, given the context here, is most conveni
作者: 配偶    時(shí)間: 2025-3-24 21:01

作者: 眼界    時(shí)間: 2025-3-25 02:24

作者: 魔鬼在游行    時(shí)間: 2025-3-25 04:07

作者: 稱贊    時(shí)間: 2025-3-25 08:19
978-1-4612-7772-9Springer-Verlag New York Inc. 1991
作者: callous    時(shí)間: 2025-3-25 12:32
https://doi.org/10.1007/978-3-322-94827-4In this chapter, we will be looking more closely at questions of nonuniqueness and uniqueness of .-functions. However, it will be more convenient to work with the Laplace transforms of the quantities involved, particularly the resolvent function in place of the transition function, rather than in the time domain as we did in Chapter 2.
作者: 樹上結(jié)蜜糖    時(shí)間: 2025-3-25 16:34

作者: 朝圣者    時(shí)間: 2025-3-25 20:36
,übungsaufgaben und L?sungswege,A transition function . is said to be . if there exists a set . of strictly positive numbers such that. for all . and ..If, in addition, we have Σ.. = 1, then . is called symmetric. In either case, the set . is called the symmetrizing measure.
作者: inquisitive    時(shí)間: 2025-3-26 01:09
Teubner Studienbücher MathematikIn this section, we investigate processes with state space . which are basically birth and death processes, but which also allow downward jumps called ., of arbitrary size.
作者: cipher    時(shí)間: 2025-3-26 07:25

作者: CT-angiography    時(shí)間: 2025-3-26 12:30
Classification of States and Invariant Measures,Let ., be a standard transition function, and let . denote a continuous-time Markov chain with state space ., and having . as its transition function.
作者: 殘廢的火焰    時(shí)間: 2025-3-26 14:53
Reversibility, Monotonicity, and Other Properties,A transition function . is said to be . if there exists a set . of strictly positive numbers such that. for all . and ..If, in addition, we have Σ.. = 1, then . is called symmetric. In either case, the set . is called the symmetrizing measure.
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作者: Commonplace    時(shí)間: 2025-3-27 02:50
Transition Functions and Resolvents,called a continuous-time parameter Markov chain if for any finite set . of “times,” and corresponding set . of states in . such that ., we have . Equation (1.1) is called the Markov property. If for all ., . such that . and all .,. ε . the conditional probability . appearing on the right-hand side o
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作者: 鼓掌    時(shí)間: 2025-3-27 12:01
Examples of Continuous-Time Markov Chains,ion, and we can solve either the backward or forward equations to find it. Let us consider, for example, the backward equations.Suppose that . is similar to the . x . matrix .; that is, that.for some . x . invertible matrix .. Then . satisfies.The point is . can in general be a simpler matrix than .
作者: Bumble    時(shí)間: 2025-3-27 16:41

作者: expunge    時(shí)間: 2025-3-27 20:12
Birth and Death Processes,ent the birth and death .-matrix of (3.2.1) given by.,where . is a set of birth-death parameters. Note again that . is conservative if and only if . = 0, and that if .. > 0, we are allowing the process to jump from state 0 directly to an absorbing state which, given the context here, is most conveni
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Book 2008. This book is essential to those with an interest in 3DTV-related research or applications, and also of interest to those who, while not directly working on 3DTV, work in areas which developments in 3DTV may touch, such as multimedia, computer games, virtual reality, medical imaging, and scientific
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Johan G. (Hans) Blickman MD, PhD FACR, FAAPhe contributions of the three flexibility mechanisms under the Kyoto Protocol, i. e. emissions trading, joint implementation, and the clean development mechanism. He shows how the reduction in compliance costs of industrialized regions depends on the extent to which the flexibility mechanisms will b
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