MINIMAX RATES IN SPARSE, HIGH-DIMENSIONAL CHANGE POINT DETECTION
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Abstract
We study the detection of a sparse change in a high-dimensional mean vector
as a minimax testing problem. Our first main contribution is to derive the
exact minimax testing rate across all parameter regimes for
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Engineering and Physical Sciences Research Council (EP/P031447/1)