{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T04:55:28Z","timestamp":1791435328729,"version":"4.3.3"},"reference-count":34,"publisher":"Institute of Mathematical Statistics","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Ann. Statist."],"published-print":{"date-parts":[[2024,8,1]]},"abstract":"<jats:p>We consider the twin problems of estimating the effective rank and the Schatten norms \u2016A\u2016s of a rectangular p\u00d7q matrix A from noisy observations. When s is an even integer, we introduce a polynomial-time estimator of \u2016A\u2016s that achieves the minimax rate (pq)1\/4. Interestingly, this optimal rate does not depend on the underlying rank of the matrix A. When s is not an even integer, the optimal rate is much slower. A simple thresholding estimator of the singular values achieves the rate (q\u2227p)(pq)1\/4, which turns out to be optimal up to a logarithmic multiplicative term. The tight minimax rate is achieved by a more involved polynomial approximation method. This allows us to build estimators for a class of effective rank indices. As a byproduct, we also characterize the minimax rate for estimating the sequence of singular values of a matrix.<\/jats:p>","DOI":"10.1214\/24-aos2374","type":"journal-article","created":{"date-parts":[[2024,10,4]],"date-time":"2024-10-04T01:47:46Z","timestamp":1728006466000},"page":"1334-1359","source":"Crossref","is-referenced-by-count":1,"title":["Optimal estimation of Schatten norms of a rectangular matrix"],"prefix":"10.1214","volume":"52","author":[{"given":"Sol\u00e8ne","family":"Th\u00e9paut","sequence":"first","affiliation":[{"name":"Safran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicolas","family":"Verzelen","sequence":"additional","affiliation":[{"name":"MISTEA, INRAE, Universit\u00e9 de Montpellier"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"108","reference":[{"key":"32","doi-asserted-by":"publisher","unstructured":"<small>Vershynin, R.<\/small> (2018). <i>High-Dimensional Probability<\/i>: <i>An Introduction with Applications in Data Science<\/i>. <i>Cambridge Series in Statistical and Probabilistic Mathematics<\/i> <b>47<\/b>. 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