標(biāo)題: Titlebook: Probability via Expectation; Peter Whittle Textbook 2000Latest edition Springer Science+Business Media New York 2000 Markov process.Marti [打印本頁] 作者: Daidzein 時(shí)間: 2025-3-21 17:58
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書目名稱Probability via Expectation網(wǎng)絡(luò)公開度學(xué)科排名
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書目名稱Probability via Expectation被引頻次學(xué)科排名
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書目名稱Probability via Expectation讀者反饋
書目名稱Probability via Expectation讀者反饋學(xué)科排名
作者: 光滑 時(shí)間: 2025-3-21 22:58
Expectation,of .. The description of the variation of ω over Ω implied by the specification of these expectations will be termed a . or .. The introduction of a probabilistic element justifies the term ., which we shall consistently abbreviate to r.v.作者: 毛細(xì)血管 時(shí)間: 2025-3-22 03:15 作者: 注射器 時(shí)間: 2025-3-22 07:33
Large-Deviation Theory,n so many applications. Roughly, it applies to systems that have a large-scale character (in a sense to be defined) and exploits this scale to derive the essential stochastic behaviour of the system, although without going all the way to the deterministic limit.作者: prostate-gland 時(shí)間: 2025-3-22 11:21
The Two Basic Limit Theorems,tation. There is then interest in confirming whether such behaviour can be reproduced within the theory, in that one can demonstrate convergence of . in some well-defined sense, under appropriate assumptions.作者: 柏樹 時(shí)間: 2025-3-22 13:32 作者: pulmonary 時(shí)間: 2025-3-22 18:49
1431-875X n the issues that stimulated me first to write. The present edition contains a number of minor modifications and corrections, but its principal innovation is the addition of material on dynamic programming, optimal allocation, option pricing and large deviations. These are substantial topics, but on作者: Certainty 時(shí)間: 2025-3-22 23:41 作者: Ordnance 時(shí)間: 2025-3-23 03:54
Stochastic Convergence,e encounter should be construed as a limit, in some sense, of a finite sum. Consider, for instance, the sum 282-2 of Section 6.1, or the formal solution 282-3 of the stochastic difference equation 282-4.作者: Robust 時(shí)間: 2025-3-23 06:03
Probability,’ or ‘the patient survives’. As we saw in Section 2.3, the formal characterization of the event is as a set of realizations ω, i.e. a subset of Ω, also denoted by .. This is just the set of realizations for which the event occurs.作者: Gyrate 時(shí)間: 2025-3-23 12:39
Continuous Random Variables and Their Transformations,hat there were at most countably many realizations. However, we were increasingly led to consider r.v.s . on more general sample spaces, and it became evident in Section 7.5 that we need to be able to calculate the distribution of functions of . in terms of the distribution of 作者: MOT 時(shí)間: 2025-3-23 16:31
Markov Processes in Discrete Time,en natural to consider gaming (Section 4.5), renewal processes (Section 6.1) and population growth (Section 6.4) as situations evolving in time. Almost all real-world phenomena must be considered dynamically.作者: BILE 時(shí)間: 2025-3-23 18:01 作者: 植物學(xué) 時(shí)間: 2025-3-24 01:44
978-1-4612-6795-9Springer Science+Business Media New York 2000作者: Indebted 時(shí)間: 2025-3-24 02:53
Probability via Expectation978-1-4612-0509-8Series ISSN 1431-875X Series E-ISSN 2197-4136 作者: 免除責(zé)任 時(shí)間: 2025-3-24 09:24
Some Basic Models,With the concepts of expectation and probability established, it is time to discuss a number of basic models. These are of interest both in themselves and because they indicate the way forward.作者: 加花粗鄙人 時(shí)間: 2025-3-24 13:46
Conditioning,The idea behind . is that a partial observation can give one some idea of where in sample space the ω specifying the realization must lie: in a set ., say. Then, in effect, the sample space has contracted: instead of taking expectations over the full space Ω, one does so only over 作者: Evolve 時(shí)間: 2025-3-24 18:33 作者: 平靜生活 時(shí)間: 2025-3-24 22:19
Action Optimisation; Dynamic Programming,This and the following two chapters are something of a diversion, but open the way to important applications. The primal role of the expectation concept in all three cases is a fact of life rather than of selection.作者: TIA742 時(shí)間: 2025-3-24 23:46 作者: 消瘦 時(shí)間: 2025-3-25 05:01 作者: 內(nèi)行 時(shí)間: 2025-3-25 09:59 作者: GOAD 時(shí)間: 2025-3-25 13:18
https://doi.org/10.1007/978-1-4612-0509-8Markov process; Martingale; Probability Theory; Random variable; optimization; probability measure作者: vasospasm 時(shí)間: 2025-3-25 19:42
Uncertainty, Intuition, and Expectation, uncertainty, expect, believe. Nevertheless, as with many concepts for which we have a strong but rather vague intuition, the idea of probability has taken some time to formalize. It was in the study of games of chance (such as card games and the tossing of dice) that the early attempts at formaliza作者: CHART 時(shí)間: 2025-3-25 23:38 作者: Popcorn 時(shí)間: 2025-3-26 00:23 作者: Enteropathic 時(shí)間: 2025-3-26 06:55
Applications of the Independence Concept,an appeal made explicit already in Section 4.1. Now that the concept has been set in the wider context of conditioning we can continue with the description of some further models which, while still standard, are of a more advanced character. These models are all somewhat individual. In Chapter 7 we 作者: Endometrium 時(shí)間: 2025-3-26 12:29
The Two Basic Limit Theorems,behaviour of the sums. and averages . of such variables as . becomes large. The motivation is clear from the discussion of Section 1.2. Sample averages of actual data are observed to ‘converge’ with increasing sample size, and it was this ‘limit’ which we idealized to provide the concept of an expec作者: Feature 時(shí)間: 2025-3-26 13:45
Continuous Random Variables and Their Transformations,hat there were at most countably many realizations. However, we were increasingly led to consider r.v.s . on more general sample spaces, and it became evident in Section 7.5 that we need to be able to calculate the distribution of functions of . in terms of the distribution of 作者: Mercurial 時(shí)間: 2025-3-26 18:44 作者: 規(guī)范要多 時(shí)間: 2025-3-26 21:44 作者: 甜瓜 時(shí)間: 2025-3-27 03:24 作者: 弄污 時(shí)間: 2025-3-27 07:33
Stochastic Convergence, of r.v.s. 282-1 which one suspects has some kind of limit property for large . is a familiar object. For example, the convergence of the sample average . to a common expected value .(.) (in mean square, Exercise 2.8.6; in probability, Exercise 2.9.14 or in distribution, Section 7.3) has been a recu作者: 琺瑯 時(shí)間: 2025-3-27 12:52
Large-Deviation Theory, the beauty of the theory and of the many ways in which it can be viewed, but even more because of the realisation that it provides the natural tool in so many applications. Roughly, it applies to systems that have a large-scale character (in a sense to be defined) and exploits this scale to derive 作者: vanquish 時(shí)間: 2025-3-27 14:02
Extension: Examples of the Infinite-Dimensional Case,nitely many expectation values are specified. The two issues to be faced remain those of consistency and extension. These issues are too large for us to treat systematically, and we shall in fact consider only some particular cases of extension, of interest either in that they make a point or in tha作者: LIEN 時(shí)間: 2025-3-27 19:38
Peter Whittlehould not only be based on its advantages but also on its shortcomings, and clinicians should be aware of the risks of untoward or unexpected events. Malfunction of the da Vinci robotic system is one of the shortcomings that might result in variable outcomes, depending on the severity. The potential
