Estimation and Prediction in Time Series - Efficient prediction for linear and nonlinear autoregressive models (English)
- New search for: Müller, Ursula U.
- New search for: Müller, Ursula U.
- New search for: Schick, Anton
- New search for: Wefelmeyer, Wolfgang
In:
The annals of statistics
;
34
, 5
; 2496-2533
;
2006
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ISSN:
- Article (Journal) / Print
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Title:Estimation and Prediction in Time Series - Efficient prediction for linear and nonlinear autoregressive models
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Contributors:
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Published in:The annals of statistics ; 34, 5 ; 2496-2533
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Publisher:
- New search for: Institute of Mathematical Statistics
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Place of publication:Cleveland, Ohio [u.a.]
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Publication date:2006
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ISSN:
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ZDBID:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
- New search for: 31.73
- Further information on Basic classification
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Keywords:
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Classification:
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Source:
Table of contents – Volume 34, Issue 5
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 2069
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Discussion Paper - Conditional growth chartsWei, Ying et al. | 2006
- 2098
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Discussion Paper - Discussion - Conditional growth chartsCarroll, Raymond J. et al. | 2006
- 2126
-
Discussion Paper - Rejoinder - Conditional growth chartsWei, Ying et al. | 2006
- 2132
-
Nonparametric Statistical Analysis - Poisson inverse problemsAntoniadis, Anestis et al. | 2006
- 2132
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Poisson inverse problemsAntoniadis, A. / Bigot, J. et al. | 2006
- 2159
-
Nonparametric Statistical Analysis - Prediction in functional linear regressionCai, T.Tony et al. | 2006
- 2159
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Prediction in functional linear regressionCai, T. T. / Hall, P. et al. | 2006
- 2180
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From epsilon-entropy to KL-entropy: Analysis of minimum information complexity density estimationZhang, T. et al. | 2006
- 2180
-
Nonparametric Statistical Analysis - From e-entropy to KL-entropy: Analysis of minimum information complexity density estimationZhang, Tong et al. | 2006
- 2211
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Nonparametric Statistical Analysis - Multidimensional trimming based on projection depthZuo, Yijun et al. | 2006
- 2211
-
Multidimensional trimming based on projection depthZuo, Y. et al. | 2006
- 2252
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Nonparametric Statistical Analysis - A simple smooth backfitting method for additive modelsMammen, Enno et al. | 2006
- 2252
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A simple smooth backfitting method for additive modelsMammen, E. / Park, B. U. et al. | 2006
- 2272
-
Nonparametric Statistical Analysis - Component selection and smoothing in multivariate nonparametric regressionLin, Yi et al. | 2006
- 2272
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Component selection and smoothing in multivariate nonparametric regressionLin, Y. / Zhang, H. H. et al. | 2006
- 2298
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Nonparametric Statistical Analysis - Optimal adaptive estimation of a quadratic functionalCai, T.Tony et al. | 2006
- 2298
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Optimal adaptive estimation of a quadratic functionalCai, T. T. / Low, M. G. et al. | 2006
- 2326
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Risk bounds for statistical learningMassart, P. / Nedelec, E. et al. | 2006
- 2326
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Statistical Learning - Risk bounds for statistical learningMassart, Pascal et al. | 2006
- 2367
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Best subset selection, persistence in high-dimensional statistical learning and optimization under l~1 constraintGreenshtein, E. et al. | 2006
- 2367
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Statistical Learning - Best subset selection, persistence in high-dimensional statistical learning and optimization under l1 constraintGreenshtein, Eitan et al. | 2006
- 2387
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A multivariate empirical Bayes statistic for replicated microarray time course dataTai, Y. C. / Speed, T. P. et al. | 2006
- 2387
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Topics in Bayesian Inference - A multivariate empirical Bayes statistic for replicated microarray time course dataTai, Yu Chuan et al. | 2006
- 2413
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Topics in Bayesian Inference - Posterior consistency of Gaussian process prior for nonparametric binary regressionGhosal, Subhashis et al. | 2006
- 2413
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Posterior consistency of Gaussian process prior for nonparametric binary regressionGhosal, S. / Roy, A. et al. | 2006
- 2430
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Topics in Bayesian Inference - The shape of incomplete preferencesNau, Robert et al. | 2006
- 2430
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The shape of incomplete preferencesNau, R. et al. | 2006
- 2449
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Estimation and Prediction in Time Series - Quasi-maximum-likelihood estimation in conditionally heteroscedastic time series: A stochastic recurrence equations approachStraumann, Daniel et al. | 2006
- 2449
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Quasi-maximum-likelihood estimation in conditionally heteroscedastic time series: A stochastic recurrence equations approachStraumann, D. / Mikosch, T. et al. | 2006
- 2496
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Estimation and Prediction in Time Series - Efficient prediction for linear and nonlinear autoregressive modelsMüller, Ursula U. et al. | 2006
- 2496
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Efficient prediction for linear and nonlinear autoregressive modelsMuller, U. U. / Schick, A. / Wefelmeyer, W. et al. | 2006
- 2534
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Blocked regular fractional factorial designs with minimum aberrationXu, H. et al. | 2006
- 2534
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Fractional Factorial Designs - Blocked regular fractional factorial designs with minimum aberrationXu, Hongquan et al. | 2006
- 2554
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Can one estimate the conditional distribution of post-model-selection estimators?Leeb, H. / Potscher, B. M. et al. | 2006
- 2554
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Post-Model-Selection Estimation - Can one estimate the conditional distribution of post-model-selection estimators?Leeb, Hannes et al. | 2006