Estimation and Confidence Sets For Sparse Normal Mixtures

@inproceedings{Cai2005EstimationAC,
  title={Estimation and Confidence Sets For Sparse Normal Mixtures},
  author={T. Tony Cai and Jiashun Jin and Mark G. Low},
  year={2005}
}
For high dimensional statistical models, researchers have begun to focus on situations which can be described as having relatively few moderately large coefficients. Such situations lead to some very subtle statistical problems. In particular, Ingster and Donoho and Jin have considered a sparse normal means testing problem, in which they described the precise demarcation or detection boundary. Meinshausen and Rice have shown that it is even possible to estimate consistently the fraction of… CONTINUE READING
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