Sub-Gaussian Mean Estimation in Polynomial Time

arXiv: Statistics Theory, Volume abs/1809.07425, 2018.

Cited by: 1|Views1


study polynomial time algorithms for estimating the mean of a random vector $X$ in $mathbb{R}^d$ from $n$ independent samples $X_1,ldots,X_n$ when $X$ may be heavy-tailed. assume only that $X$ has finite mean $mu$ and covariance $Sigma$. In this setting, the radius of confidence intervals achieved by the empirical mean are large compare...More



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