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Optimal adaptive estimation: Structure and parameter adaptation
1970 IEEE Symposium on Adaptive Processes (9th) Decision and Control, 1970Optimal structure and parameter adaptive estimators have been obtained for continuous as well as discrete data gaussian process models with linear dynamics. Specifically, the essentially nonlinear adaptive estimators are shown to be decomposable (partition theorem) into two parts, a linear non-adaptive part consisting of a bank of Kalman-Bucy filters ...
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ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
Two basic approaches to adaptive signal processing are in common use. The first and most direct involves substituting data-derived estimates of signal and noise autocorrelations into the standard Wiener-Hopf equation. The second uses a stochastic algorithm, such as the LMS, to minimize the mean square error directly.
S. Sharpe, L. Nolte
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Two basic approaches to adaptive signal processing are in common use. The first and most direct involves substituting data-derived estimates of signal and noise autocorrelations into the standard Wiener-Hopf equation. The second uses a stochastic algorithm, such as the LMS, to minimize the mean square error directly.
S. Sharpe, L. Nolte
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Confidence intervals in adaptive estimation
Journal of Mathematical Sciences, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bobrov, P. B., Ostrovskij, E. I.
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1995
This paper presents some results concerning the adaptive estimation of density with wavelet methods. We explain three procedures, each one having its own advantages (see [DJKP], [KPT], [TRIB]). The first one is an empirical method based on simulations; the bandwidth is chosen with a cross validated criteria.
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This paper presents some results concerning the adaptive estimation of density with wavelet methods. We explain three procedures, each one having its own advantages (see [DJKP], [KPT], [TRIB]). The first one is an empirical method based on simulations; the bandwidth is chosen with a cross validated criteria.
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ESTIMATION ADAPTIVE ET INEGALITE D'ORACLE
2014Le mémoire que nous présentons est basé sur un article intitulé « structural adaptation via Lpnorm oracle inequalities » paru en 2009 au journal ProbabiJity theory relation fields. Les auteurs sont: Alexander Goldenshluder du département de statistiques de l'université de Haifa en ISRAEL et Oleg Lepski du laboratoire d'analyse, topologie et ...
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