activity
20132020
most citedBootstrap confidence sets under model misspecification

66 citations · 81 across the 6 of their papers we have counts for

collaborators

7 papers

math.ST2020★ 5 cited

New Edgeworth-type expansions with finite sample guarantees

Mayya Zhilova

We establish higher-order nonasymptotic expansions for a difference between probability distributions of sums of i.i.d. random vectors in a Euclidean space. The derived bounds are…

math.ST2019

Estimation of Smooth Functionals in Normal Models: Bias Reduction and Asymptotic Efficiency

Vladimir Koltchinskii, Mayya Zhilova

Let be i.i.d. random variables sampled from a normal distribution in with unknown parameter $θ=(μ,Σ)\in Θ:={\mathbb R}^d\times {\mathcal C…

math.ST2018

Efficient Estimation of Smooth Functionals in Gaussian Shift Models

Vladimir Koltchinskii, Mayya Zhilova

We study a problem of estimation of smooth functionals of parameter of Gaussian shift model where is a separable Banach space and is an observatio…

math.ST2016★ 10 cited

Nonclassical Berry-Esseen inequalities and accuracy of the bootstrap

Mayya Zhilova

We study accuracy of bootstrap procedures for estimation of quantiles of a smooth function of a sum of independent sub-Gaussian random vectors. We establish higher-order approximat…

math.ST2015

Simultaneous likelihood-based bootstrap confidence sets for a large number of models

Mayya Zhilova

The paper studies a problem of constructing simultaneous likelihood-based confidence sets. We consider a simultaneous multiplier bootstrap procedure for estimating the quantiles of…

math.ST2014★ 66 cited

Bootstrap confidence sets under model misspecification

Vladimir Spokoiny, Mayya Zhilova

A multiplier bootstrap procedure for construction of likelihood-based confidence sets is considered for finite samples and a possible model misspecification. Theoretical results ju…

math.PR2013

Sharp deviation bounds for quadratic forms

Vladimir Spokoiny

This note presents sharp inequalities for deviation probability of a general quadratic form of a random vector \(\xiv\) with finite exponential moments. The obtained deviation boun…