Recursive parameter identification for nonlinear stochastic processes

Mapping Intimacies ◽

10.2514/6.1980-242 ◽

1980 ◽

Author(s):

M. WAGDI

Keyword(s):

Parameter Identification ◽

Stochastic Processes

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Fuzzy Stochastic Processes and their Applications to Parameter Identification

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)52459-3 ◽

1991 ◽

Vol 24 (3) ◽

pp. 871-876 ◽

Author(s):

T. Fukuda ◽

Y. Sunahara

Keyword(s):

Parameter Identification ◽

Stochastic Processes

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Recursive Parameter Identification for Nonlinear Stochastic Processes

Journal of Guidance and Control ◽

10.2514/3.59287 ◽

1980 ◽

Vol 3 (6) ◽

pp. 589-592

Author(s):

Mohammad Nabih Wagdi

Keyword(s):

Parameter Identification ◽

Stochastic Processes

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Statistical Analysis of Stochastic Processes in Time

10.1017/cbo9780511617164 ◽

2004 ◽

Author(s):

J. K. Lindsey

Keyword(s):

Statistical Analysis ◽

Stochastic Processes

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Stochastic Processes in Demography and Applications

Population Studies ◽

10.1080/0032472031000146086 ◽

1992 ◽

Vol 46 (1) ◽

pp. 172-173

Author(s):

S. Mitra

Keyword(s):

Stochastic Processes

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Distribution-free statistical hypotheses testing for stochastic processes

Optimization ◽

10.1080/02331937408842222 ◽

1974 ◽

Vol 5 (7) ◽

pp. 643-656

Author(s):

R. Ahmad

Keyword(s):

Stochastic Processes ◽

Hypotheses Testing ◽

Distribution Free ◽

Statistical Hypotheses ◽

Statistical Hypotheses Testing

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CRITICAL STOPPING TIMES AND SEMIMARTINGALESOF STOCHASTIC PROCESSES

Acta Mathematica Scientia ◽

10.1016/s0252-9602(17)30702-6 ◽

1994 ◽

Vol 14 (2) ◽

pp. 167-173

Author(s):

Bijin Hu

Keyword(s):

Stochastic Processes ◽

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Glycemia Prediction Accuracy of Simple Linear Models with Online Parameter Identification

International Review on Modelling and Simulations (IREMOS) ◽

10.15866/iremos.v9i5.10171 ◽

2016 ◽

Vol 9 (5) ◽

pp. 367 ◽

Author(s):

Matúš Rebro ◽

Marián Tárník ◽

Ján Murgaš

Keyword(s):

Parameter Identification ◽

Prediction Accuracy ◽

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An efficient computational method for parameter identification in the context of random set theory via Bayesian inversion

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2020031869 ◽

2020 ◽

Author(s):

Truong Vinh Hoang ◽

Hermann G. Matthies

Keyword(s):

Parameter Identification ◽

Computational Method ◽

Bayesian Inversion ◽

Random Set Theory

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A New Criterion for Optimal Parameter Identification

1991 American Control Conference ◽

10.23919/acc.1991.4791572 ◽

1991 ◽

Author(s):

Luis G. Herrera-Bendezut ◽

James T. Cain

Keyword(s):

Parameter Identification ◽

Optimal Parameter ◽

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Parameter Identification using Nonlinear Observer Theory

10.23919/acc.1990.4790934 ◽

1990 ◽

Author(s):

Scott A. Bortoff ◽

Mark W. Spong

Keyword(s):

Parameter Identification ◽

Nonlinear Observer

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