Optimal adaptive estimation of a quadratic functional (English)
- New search for: Cai, T. T.
- New search for: Low, M. G.
- New search for: Cai, T. T.
- New search for: Low, M. G.
In:
ANNALS OF STATISTICS
;
34
, 5
;
2298-2325
;
2006
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ISSN:
- Article (Journal) / Print
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Title:Optimal adaptive estimation of a quadratic functional
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Contributors:Cai, T. T. ( author ) / Low, M. G. ( author )
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Published in:ANNALS OF STATISTICS ; 34, 5 ; 2298-2325
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Publisher:
- New search for: IMS INSTITUTE OF MATHEMATICAL STATISTICS
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Publication date:2006-01-01
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Size:28 pages
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ISSN:
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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: 519.5
- Further information on Dewey Decimal Classification
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Classification:
DDC: 519.5 -
Source:
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
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
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Discussion Paper - Rejoinder - Conditional growth chartsWei, Ying et al. | 2006
- 2132
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Poisson inverse problemsAntoniadis, A. / Bigot, J. et al. | 2006
- 2132
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Nonparametric Statistical Analysis - Poisson inverse problemsAntoniadis, Anestis et al. | 2006
- 2159
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Prediction in functional linear regressionCai, T. T. / Hall, P. et al. | 2006
- 2159
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Nonparametric Statistical Analysis - Prediction in functional linear regressionCai, T.Tony 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
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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
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Multidimensional trimming based on projection depthZuo, Y. et al. | 2006
- 2252
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A simple smooth backfitting method for additive modelsMammen, E. / Park, B. U. et al. | 2006
- 2252
-
Nonparametric Statistical Analysis - A simple smooth backfitting method for additive modelsMammen, Enno 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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Statistical Learning - Best subset selection, persistence in high-dimensional statistical learning and optimization under l1 constraintGreenshtein, Eitan 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
- 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
-
The shape of incomplete preferencesNau, R. et al. | 2006
- 2430
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Topics in Bayesian Inference - The shape of incomplete preferencesNau, Robert et al. | 2006
- 2449
-
Quasi-maximum-likelihood estimation in conditionally heteroscedastic time series: A stochastic recurrence equations approachStraumann, D. / Mikosch, T. et al. | 2006
- 2449
-
Estimation and Prediction in Time Series - Quasi-maximum-likelihood estimation in conditionally heteroscedastic time series: A stochastic recurrence equations approachStraumann, Daniel 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
- 2496
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Estimation and Prediction in Time Series - Efficient prediction for linear and nonlinear autoregressive modelsMüller, Ursula U. 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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Post-Model-Selection Estimation - Can one estimate the conditional distribution of post-model-selection estimators?Leeb, Hannes 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