activity
20042008
most citedUniversal pointwise selection rule in multivariate function estimation

56 citations · 120 across the 4 of their papers we have counts for

collaborators

6 papers

math.ST200856 cited

Universal pointwise selection rule in multivariate function estimation

Alexander Goldenshluger, Oleg Lepski

In this paper, we study the problem of pointwise estimation of a multivariate function. We develop a general pointwise estimation procedure that is based on selection of estimators…

math.ST200730 cited

Structural adaptation via -norm oracle inequalities

A. Goldenhsluger, O. Lepski

In this paper we study the problem of adaptive estimation of a multivariate function satisfying some structural assumption. We propose a novel estimation procedure that adapts simu…

math.ST200715 cited

A universal procedure for aggregating estimators

Alexander Goldenshluger

In this paper we study the aggregation problem that can be formulated as follows. Assume that we have a family of estimators built on the basis of available observati…

math.ST200619 cited

Recovering convex boundaries from blurred and noisy observations

Alexander Goldenshluger, Assaf Zeevi

We consider the problem of estimating convex boundaries from blurred and noisy observations. In our model, the convolution of an intensity function is observed with additive Ga…

math.ST2005

The Hough transform estimator

Alexander Goldenshluger, Assaf Zeevi

This article pursues a statistical study of the Hough transform, the celebrated computer vision algorithm used to detect the presence of lines in a noisy image. We first study asym…

math.ST2004

Optimal change-point estimation from indirect observations

A. Goldenshluger, A. Tsybakov, A. Zeevi

We study nonparametric change-point estimation from indirect noisy observations. Focusing on the white noise convolution model, we consider two classes of functions that are smooth…