asymptotically minimax Latest Research Papers

On Asymptotically Minimax Nonparametric Detection of Signal in Gaussian White Noise

Journal of Mathematical Sciences ◽

10.1007/s10958-020-05067-7 ◽

2020 ◽

Vol 251 (1) ◽

pp. 78-87

Author(s):

M. S. Ermakov

Keyword(s):

White Noise ◽

Gaussian White Noise ◽

Nonparametric Detection ◽

Asymptotically Minimax

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Misspecified and Asymptotically Minimax Robust Quickest Change Diagnosis

IEEE Transactions on Automatic Control ◽

10.1109/tac.2020.2985975 ◽

2020 ◽

pp. 1-1

Author(s):

Timothy L. Molloy

Keyword(s):

Asymptotically Minimax

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Misspecified and Asymptotically Minimax Robust Quickest Change Detection

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2017.2740202 ◽

2017 ◽

Vol 65 (21) ◽

pp. 5730-5742 ◽

Cited By ~ 1

Author(s):

Timothy L. Molloy ◽

Jason J. Ford

Keyword(s):

Change Detection ◽

Asymptotically Minimax

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Asymptotically minimax prediction in infinite sequence models

Electronic Journal of Statistics ◽

10.1214/17-ejs1312 ◽

2017 ◽

Vol 11 (2) ◽

pp. 3165-3195

Author(s):

Keisuke Yano ◽

Fumiyasu Komaki

Keyword(s):

Infinite Sequence ◽

Asymptotically Minimax

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SLOPE is adaptive to unknown sparsity and asymptotically minimax

The Annals of Statistics ◽

10.1214/15-aos1397 ◽

2016 ◽

Vol 44 (3) ◽

pp. 1038-1068 ◽

Cited By ~ 24

Author(s):

Weijie Su ◽

Emmanuel Candès

Keyword(s):

Asymptotically Minimax

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An asymptotically minimax kernel machine

Statistics & Probability Letters ◽

10.1016/j.spl.2014.08.005 ◽

2014 ◽

Vol 95 ◽

pp. 33-38

Author(s):

Debashis Ghosh

Keyword(s):

Kernel Machine ◽

Asymptotically Minimax

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Asymptotically minimax regret for models with hidden variables

2014 IEEE International Symposium on Information Theory ◽

10.1109/isit.2014.6875392 ◽

2014 ◽

Cited By ~ 3

Author(s):

Jun'ichi Takeuchi ◽

Andrew R. Barron

Keyword(s):

Hidden Variables ◽

Minimax Regret ◽

Asymptotically Minimax

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Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector

Electronic Journal of Statistics ◽

10.1214/14-ejs949 ◽

2014 ◽

Vol 8 (2) ◽

pp. 2188-2206 ◽

Cited By ~ 9

Author(s):

Ryan Martin ◽

Stephen G. Walker

Keyword(s):

Empirical Bayes ◽

Bayes Estimation ◽

Empirical Bayes Estimation ◽

Normal Mean ◽

Mean Vector ◽

Asymptotically Minimax

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Asymptotically minimax regret by Bayes mixtures for non-exponential families

2013 IEEE Information Theory Workshop (ITW) ◽

10.1109/itw.2013.6691254 ◽

2013 ◽

Cited By ~ 5

Author(s):

Jun'ichi Takeuchi ◽

Andrew R. Barron

Keyword(s):

Exponential Families ◽

Minimax Regret ◽

Asymptotically Minimax

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Asymptotically minimax bias estimation of the correlation coefficient for bivariate independent component distributions

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2012.04.020 ◽

2012 ◽

Vol 111 ◽

pp. 59-65 ◽

Cited By ~ 6

Author(s):

G.L. Shevlyakov ◽

P.O. Smirnov ◽

V.I. Shin ◽

K. Kim

Keyword(s):

Correlation Coefficient ◽

Independent Component ◽

Bias Estimation ◽

Asymptotically Minimax

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asymptotically minimax
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

On Asymptotically Minimax Nonparametric Detection of Signal in Gaussian White Noise

Misspecified and Asymptotically Minimax Robust Quickest Change Diagnosis

Misspecified and Asymptotically Minimax Robust Quickest Change Detection

Asymptotically minimax prediction in infinite sequence models

SLOPE is adaptive to unknown sparsity and asymptotically minimax

An asymptotically minimax kernel machine

Asymptotically minimax regret for models with hidden variables

Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector

Asymptotically minimax regret by Bayes mixtures for non-exponential families

Asymptotically minimax bias estimation of the correlation coefficient for bivariate independent component distributions

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asymptotically minimaxRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

On Asymptotically Minimax Nonparametric Detection of Signal in Gaussian White Noise

Misspecified and Asymptotically Minimax Robust Quickest Change Diagnosis

Misspecified and Asymptotically Minimax Robust Quickest Change Detection

Asymptotically minimax prediction in infinite sequence models

SLOPE is adaptive to unknown sparsity and asymptotically minimax

An asymptotically minimax kernel machine

Asymptotically minimax regret for models with hidden variables

Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector

Asymptotically minimax regret by Bayes mixtures for non-exponential families

Asymptotically minimax bias estimation of the correlation coefficient for bivariate independent component distributions

asymptotically minimax
Recently Published Documents