This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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305
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Type:
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Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Nonparametric Statistics
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| Abstract - #308286 |
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Title:
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Improved Minimax Lower Bound for Sparse Approximation Sets
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Author(s):
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Kyoung Hee Kim*+ and Harrison Huibin Zhou
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Companies:
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Yale University and Yale University
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Address:
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, New Haven, CT, 06520,
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Keywords:
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Minimax lower bound ;
Sparsity ;
Approximation sets ;
Assouad's lemma
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Abstract:
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Minimax rates of convergence reveal a complexity in a worst case for the statistical model that we are concerned with. Sparsity is the main interest in our model. Gaussian sequence and sparse approximation sets, each having a sparse property are considered. We obtain optimal rates of convergence using a new lower bound argument.
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