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Showing 1 to 2 of 2 for “"High dimensional mean vectors."”.
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On testing for a difference in two high-dimensional mean vectors.
… analysis involves testing for differences in the mean vectors from two populations with equal covariance matrices.This problem is considered well-posed when the sum of the two sample sizes is greater than the data dimension and, therefore, the traditional Hotelling's T2 test can be applied. In …
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High-dimensional change point detection for mean and location parameters
… distributional shifts subject to models such as mean or covariance changes. In this dissertation, we consider the offline multiple change point problem that the sample size is fixed in advance or after observation. In particular, we concentrate on high-dimensional setup where the dimension $p$ …