Oleg Lepski

1.3k total citations
28 papers, 696 citations indexed

About

Oleg Lepski is a scholar working on Statistics and Probability, Applied Mathematics and Numerical Analysis. According to data from OpenAlex, Oleg Lepski has authored 28 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 8 papers in Applied Mathematics and 6 papers in Numerical Analysis. Recurrent topics in Oleg Lepski's work include Statistical Methods and Inference (20 papers), Advanced Statistical Methods and Models (9 papers) and Mathematical Approximation and Integration (5 papers). Oleg Lepski is often cited by papers focused on Statistical Methods and Inference (20 papers), Advanced Statistical Methods and Models (9 papers) and Mathematical Approximation and Integration (5 papers). Oleg Lepski collaborates with scholars based in France, Israel and Germany. Oleg Lepski's co-authors include Vladimir Spokoiny, Enno Mammen, Alexander Goldenshluger, Gérard Kerkyacharian, A. B. Tsybakov, Dominique Picard, Arkadi Nemirovski, D. Picard, G. Kerkyacharian and Alexandre B. Tsybakov and has published in prestigious journals such as The Annals of Statistics, Probability Theory and Related Fields and Bernoulli.

In The Last Decade

Oleg Lepski

27 papers receiving 640 citations

Peers

Countries citing papers authored by Oleg Lepski

Since Specialization

Citations

This map shows the geographic impact of Oleg Lepski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Oleg Lepski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oleg Lepski more than expected).

Fields of papers citing papers by Oleg Lepski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oleg Lepski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Oleg Lepski. The network helps show where Oleg Lepski may publish in the future.

Co-authorship network of co-authors of Oleg Lepski

This figure shows the co-authorship network connecting the top 25 collaborators of Oleg Lepski. A scholar is included among the top collaborators of Oleg Lepski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Oleg Lepski. Oleg Lepski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Minimax estimation of norms of a probability density: II. Rate-optimal estimation procedures 2022 ·Bernoulli ·Alexander Goldenshluger, Oleg Lepski	3
2	Minimax estimation of norms of a probability density: I. Lower bounds 2022 ·Bernoulli ·Alexander Goldenshluger, Oleg Lepski	2
3	Structural adaptation in the density model 2021 ·Oleg Lepski, (unknown)	1
4	Oracle inequalities and adaptive estimation in the convolution structure density model 2018 ·The Annals of Statistics ·Oleg Lepski, (unknown)	17
5	A new approach to estimator selection 2018 ·Bernoulli ·Oleg Lepski	4
6	Lower bounds in the convolution structure density model 2017 ·Bernoulli ·Oleg Lepski, (unknown)	11
7	Upper functions for positive random functionals. I. General setting and Gaussian random functions 2013 ·Mathematical Methods of Statistics ·Oleg Lepski	8
8	On adaptive minimax density estimation on $$R^d$$ 2013 ·Probability Theory and Related Fields ·Alexander Goldenshluger, Oleg Lepski	46
9	Multivariate density estimation under sup-norm loss: Oracle approach, adaptation and independence structure 2013 ·The Annals of Statistics ·Oleg Lepski	22
10	On a multi-channel change-point problem 2008 ·Mathematical Methods of Statistics ·A. P. Korostelev, Oleg Lepski	7
11	Structural adaptation via $$\mathbb{L}_p$$ -norm oracle inequalities 2007 ·Probability Theory and Related Fields ·Alexander Goldenshluger, Oleg Lepski	26
12	Block Thresholding and Sharp Adaptive Estimation in Severely Ill-Posed Inverse Problems 2004 ·Theory of Probability and Its Applications ·Laurent Cavalier, (unknown), Oleg Lepski, (unknown)	8
13	Test of Symmetry in Nonparametric Regression 2003 ·Theory of Probability and Its Applications ·(unknown), Oleg Lepski	2
14	Random rates in anisotropic regression (with a discussion and a rejoinder by the authors) 2002 ·The Annals of Statistics ·(unknown), Oleg Lepski	36
15	On adaptive estimation using the sup-norm losses 2000 ·Utrecht University Repository (Utrecht University) ·(unknown), Oleg Lepski, B. Ya. Levit	0
16	Asymptotically exact nonparametric hypothesis testing in sup-norm and at a fixed point 2000 ·Probability Theory and Related Fields ·Oleg Lepski, A. B. Tsybakov	50
17	Thresholding algorithms, maxisets and well-concentrated bases 2000 ·Test ·Gérard Kerkyacharian, Dominique Picard, Lucien Birgé, Peter A. Hall, Oleg Lepski, Enno Mammen, Alexandre B. Tsybakov, G. Kerkyacharian, D. Picard	63
18	Adaptive non-parametric estimation of smooth multivariate functions 1999 ·Data Archiving and Networked Services (DANS) ·Oleg Lepski, B. Ya. Levit	13
19	Optimal pointwise adaptive methods in nonparametric estimation 1997 ·The Annals of Statistics ·Oleg Lepski, Vladimir Spokoiny	100
20	Optimal spatial adaptation to inhomogeneous smoothness: an approach based on kernel estimates with variable bandwidth selectors 1997 ·The Annals of Statistics ·Oleg Lepski, Enno Mammen, Vladimir Spokoiny	149

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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