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1. |
Exact finite dimensional filters for a class of nonlinear discrete-time systems† |
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Stochastics,
Volume 18,
Issue 2,
1986,
Page 97-132
J. Levine,
G. Pignie,
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摘要:
We obtain a necessary and sufficient condition for the existence of finite dimensional filters for the class of nonlinear discrete-time systems without dynamical noise. This condition is used to obtain an explicit formula of the minimal filter, as well as various system theoretic properties of the system and of its filter. These results are applied to a tracking problem for a moving target.
ISSN:0090-9491
DOI:10.1080/17442508608833404
出版商:Gordon and Breach, Science Publishers, Inc
年代:1986
数据来源: Taylor
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2. |
On the duration of sequential estimation of parameters of stochastic processes in discretetime |
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Stochastics,
Volume 18,
Issue 2,
1986,
Page 133-154
V. V. Konev,
S. M. Pergamenshchicov,
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摘要:
This paper establishes several properties of sequential plans proposed earlier by the same authors for estimation of parameters of random processes described by stochastic difference equations. Upper and lower bounds for mean time of sequential estimation are obtained. The asymptotic normality of the stopping time is shown in the case of autoregressive models.
ISSN:0090-9491
DOI:10.1080/17442508608833405
出版商:Gordon and Breach, Science Publishers, Inc
年代:1986
数据来源: Taylor
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3. |
Les processus de dirichlet et tant qu'espace de banach |
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Stochastics,
Volume 18,
Issue 2,
1986,
Page 155-168
Jean Bertoin,
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PDF (300KB)
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摘要:
On introduit l'espace de Banach des processus de Dirichlet (forts et faibles), on montre la stabilité de cet espace par une transformation de classe C$sub:1$esub: et on etudie f(B) pour B mouvement Brownien réel et / dans Jf1(R)
ISSN:0090-9491
DOI:10.1080/17442508608833406
出版商:Gordon and Breach, Science Publishers, Inc
年代:1986
数据来源: Taylor
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4. |
Non-parametric estimation for partially observed transient diffusion processes |
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Stochastics,
Volume 18,
Issue 2,
1986,
Page 169-196
V. Genon-Catalot,
C. Laredo,
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PDF (658KB)
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摘要:
Consider Xta transient diffusion on R with small known variance σ and unknown drift function µ(.). The record processis partially observed up to the hitting time T$sub:ⱥ$esub: of a given level ⱥ>x = X$sub:0$esub: Under suitable assumptions on µ, we study the statistical model corresponding to this observation. The likelihood function being in most cases unknown, we construct a non-parametric estimator of the drift coefficient pi µ(.) and study its asymptotic properties as σgoes to 0.
ISSN:0090-9491
DOI:10.1080/17442508608833407
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 2,
1986,
Page -
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PDF (102KB)
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ISSN:0090-9491
DOI:10.1080/17442508608833403
出版商:Gordon and Breach Science Publishers
年代:1986
数据来源: Taylor
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