activity
19922016
most citedQuantitative estimates of the convergence of the empirical covariance matrix in Log-concave Ensembles

117 citations · 296 across the 16 of their papers we have counts for

collaborators

19 papers

math.MG2016★ 5 cited

A remark on measures of sections of -balls

Alexander Koldobsky, Alain Pajor

We show that the slicing problem holds true for subspaces of in the setting of arbitrary measures in place of volume. This generalizes a result of Milman for the original…

math.PR2015

On the interval of fluctuation of the singular values of random matrices

Olivier Guédon, Alexander E. Litvak, Alain Pajor +1

Let be a matrix whose columns are independent random vectors in . Assume that the tails of the 1-dimensional marginals decay as $\mathbb{P}(|\lan…

math.PR2013★ 4 cited

The Central Limit Theorem for Linear Eigenvalue Statistics of the Sum of Independent Matrices of Rank One

O. Guédon, A. Lytova, A. Pajor +1

We consider random matrices , where , are i.i.d. is…

math.FA2013

Thin-shell concentration for convex measures

Matthieu Fradelizi, Olivier Guédon, Alain Pajor

We prove that for , -concave measures on satisfy a thin shell concentration similar to the log-concave one. It leads to a Berry-Esseen type estimate for the…

math.PR2012★ 15 cited

Moment estimates for convex measures

Radosław Adamczak, Olivier Guédon, Rafał Latała +4

Let , $\eps >0$, $r\geq (1+\eps) p$, and be a -concave random vector in with Euclidean norm . We prove that $(\E |X|^{p})^{1/{p}}\leq c (C(\eps) \E…

math.PR2012★ 25 cited

A short proof of Paouris' inequality

Radosław Adamczak, Rafał Latała, Alexander E. Litvak +3

We give a short proof of a result of G. Paouris on the tail behaviour of the Euclidean norm of an isotropic log-concave random vector , stating that for every $t\ge…