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Titlebook: Excursions of Markov Processes; Robert M. Blumenthal Textbook 1992 Springer Science+Business Media New York 1992 Generator.Markov process.

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發(fā)表于 2025-3-21 16:43:28 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Excursions of Markov Processes
編輯Robert M. Blumenthal
視頻videohttp://file.papertrans.cn/319/318437/318437.mp4
叢書(shū)名稱Probability and Its Applications
圖書(shū)封面Titlebook: Excursions of Markov Processes;  Robert M. Blumenthal Textbook 1992 Springer Science+Business Media New York 1992 Generator.Markov process.
描述Let {Xti t ~ O} be a Markov process in Rl, and break up the path X t into (random) component pieces consisting of the zero set ({ tlX = O}) and t the "excursions away from 0," that is pieces of path X. : T ::5 s ::5 t, with Xr- = X = 0, but X. 1= 0 for T < s < t. When one measures the time in t the zero set appropriately (in terms of the local time) the excursions acquire a measure theoretic structure practically identical to that of processes with stationary independent increments, except the values of the process are paths rather than real numbers. And there is a measure on path space that helps describe the measure theoretic properties of the excursions in the same way that the Levy measure describes the jumps of a process with independent increments. The entire circle of ideas is called excursion theory. There are many attractive things about the subject: it is an area where one can use to advantage general probabilistic potential theory to make quite specific calculations, it provides a natural setting for apply- ing esoteric things like David Williams‘ path decomposition, it provides a method for constructing processes whose description in terms of an in- finitesimal generato
出版日期Textbook 1992
關(guān)鍵詞Generator; Markov process; local time; path space; probability
版次1
doihttps://doi.org/10.1007/978-1-4684-9412-9
isbn_softcover978-1-4684-9414-3
isbn_ebook978-1-4684-9412-9Series ISSN 2297-0371 Series E-ISSN 2297-0398
issn_series 2297-0371
copyrightSpringer Science+Business Media New York 1992
The information of publication is updating

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Excursions and Local Time, no new notions appear. This should be contrasted with the situation in the next chapter. There we will be considering processes essentially in higher dimensional state spaces, where the relevant notion is that of excursions of the path away from a rather general set and where much less is known about specific formulas and constructions.
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978-1-4684-9414-3Springer Science+Business Media New York 1992
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Foundations of Vector RetrievalWe will assume the reader is familiar with the concepts of a probability triple (Ω, ., .) and conditional expectation relative to a sub σ-algebra . of .. If (.,ε) is a measurable space and {.;.?.} is an indexed family of functions from Ω to . such that .(.)ε. for each .?ε we say that {.;.?.} is a . (defined over Ω) .. We call Ω the ..
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https://doi.org/10.1007/978-1-4615-1135-9In this chapter we will give examples of various kinds of Markov processes. Also we will construct Brownian motion and use it to construct some other processes that are particularly important in excursion theory.
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