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1. |
Ergodic theory and a local occupation time for measure-valued critical branching brownian motion |
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Stochastics,
Volume 18,
Issue 3-4,
1986,
Page 197-243
I. Iscoe,
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摘要:
Let (Xt)t>=0 denote the measure-valued critical branching Brownian motion on Rdwith initial state being Lebesgue measure. A strong ergodic theorem is proved for (Xt)t>=0when d>=3, while a weak ergodic theorem is proved for d = 2. Also a weak local occupation time (an analogue of the local time for Brownian motion) is shown to exist in dimensions d=1,2 and 3.
ISSN:0090-9491
DOI:10.1080/17442508608833409
出版商:Gordon and Breach Science Publishers, Inc
年代:1986
数据来源: Taylor
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2. |
Equivalent models for finite-fuel stochastic control |
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Stochastics,
Volume 18,
Issue 3-4,
1986,
Page 245-276
Ioannis Karatzas,
Steven E. Shreve,
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PDF (741KB)
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摘要:
A stochastic control problem with finite-fuel constraint, of the type studied by Beneš, Shepp and Witsenhausen (1980), is solved explicitly. It is shown to be reducible to “simpler” stochastic optimization problems, such as optimal stopping and singular control for Brownian motion with unlimited fuel.
ISSN:0090-9491
DOI:10.1080/17442508608833410
出版商:Gordon and Breach Science Publishers, Inc
年代:1986
数据来源: Taylor
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3. |
Recursive parameter estimation for counting processes with linear intensity |
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Stochastics,
Volume 18,
Issue 3-4,
1986,
Page 277-312
Peter Spreij,
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摘要:
Recursive estimation algorithms are presented for counting processes that have an intensity process which is linear in the parameter. Strong consistency and asymptotic normality of the estimators generated by the algorithms are proved.
ISSN:0090-9491
DOI:10.1080/17442508608833411
出版商:Gordon and Breach Science Publishers, Inc
年代:1986
数据来源: Taylor
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4. |
A filtering problem with a small nonlinear term |
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Stochastics,
Volume 18,
Issue 3-4,
1986,
Page 313-341
Jean Picard,
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PDF (603KB)
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摘要:
In this paper, we consider a filtering problem where the signalXtsatisfies a slightly nonlinear stochastic differential equation and we want to obtain estimates ofXt. To this end, we decompose the nonlinearity with two techniques—a deterministic one and a stochastic one—and this leads us to two sequences of estimates which can be computed by solving finite dimensional equations. We want to compare their performances: we solve this problem in most cases if we restrict ourselves to sufficiently small times t and we give conditions which permit to conclude also for larger times
ISSN:0090-9491
DOI:10.1080/17442508608833412
出版商:Gordon and Breach Science Publishers, Inc
年代:1986
数据来源: Taylor
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5. |
Editorial board |
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Stochastics,
Volume 18,
Issue 3-4,
1986,
Page -
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PDF (314KB)
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ISSN:0090-9491
DOI:10.1080/17442508608833413
出版商:Gordon and Breach Science Publishers
年代:1986
数据来源: Taylor
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