Vladimir Spokoiny

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Wolfgang Karl HärdleHumboldt-Universität zu Berlin, Ladislaus von Bortkiewicz Professor of StatisticsVerified email at hu-berlin.de
Anatoli JuditskyProfessor at Université Grenoble-AlpesVerified email at univ-grenoble-alpes.fr
Prof. Dr. Denis BelomestnyDuisburg-Essen UniversityVerified email at uni-due.de
Thorsten DickhausProfessor of Mathematical Statistics at University of BremenVerified email at uni-bremen.de
Klaus-Robert MüllerTU Berlin & Korea University & Google Brain & Max Planck Institute for Informatics, GermanyVerified email at tu-berlin.de
Gilles BlanchardProfessor of Statistics, University of Paris-SaclayVerified email at universite-paris-saclay.fr
Arkadi NemirovskiProfessor and Jh. Hunter Academic Chair, School of Industrial and Systems Engineering, GeorgiaVerified email at isye.gatech.edu
Ying ChenDepartment of Mathematics, National University of SingaporeVerified email at nus.edu.sg
Weining WangUniversity of YorkVerified email at york.ac.uk
V.KatkovnikProfessor of Computer ScienceVerified email at tuni.fi
Arnak S. DalalyanProfessor, ENSAE Paris(Ecole Nationale de la Statistique et de l'Administration Economique), IPVerified email at ensae.fr

Vladimir Spokoiny

Professor for Statistics, Humboldt University und WIAS Berlin

Verified email at wias-berlin.de

Nonparametric statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Random gradient-free minimization of convex functions Y Nesterov, V Spokoiny Foundations of Computational Mathematics 17, 527-566, 2017	846	2017
An adaptive, rate‐optimal test of a parametric mean‐regression model against a nonparametric alternative JL Horowitz, VG Spokoiny Econometrica 69 (3), 599-631, 2001	437	2001
Optimal spatial adaptation to inhomogeneous smoothness: an approach based on kernel estimates with variable bandwidth selectors OV Lepski, E Mammen, VG Spokoiny The Annals of Statistics, 929-947, 1997	385	1997
Direct estimation of the index coefficient in a single-index model M Hristache, A Juditsky, V Spokoiny Annals of Statistics, 595-623, 2001	361	2001
Adaptive weights smoothing with applications to image restoration J Polzehl, VG Spokoiny Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2000	298	2000
Adaptive hypothesis testing using wavelets VG Spokoiny The Annals of Statistics 24 (6), 2477-2498, 1996	289	1996
Optimal pointwise adaptive methods in nonparametric estimation OV Lepski, VG Spokoiny The Annals of Statistics 25 (6), 2512-2546, 1997	271	1997
Propagation-separation approach for local likelihood estimation J Polzehl, V Spokoiny Probability Theory and Related Fields 135, 335-362, 2006	236	2006
Multiscale testing of qualitative hypotheses L Dumbgen, VG Spokoiny Annals of Statistics, 124-152, 2001	235	2001
Structure adaptive approach for dimension reduction M Hristache, A Juditsky, J Polzehl, V Spokoiny Annals of Statistics, 1537-1566, 2001	218	2001
Statistical inference for time-inhomogeneous volatility models D Mercurio, V Spokoiny	191	2004
Parametric estimation. Finite sample theory V Spokoiny	163	2012
Estimation of a function with discontinuities via local polynomial fit with an adaptive window choice VG Spokoiny The annals of statistics 26 (4), 1356-1378, 1998	149	1998
Inhomogeneous dependence modeling with time-varying copulae E Giacomini, W Härdle, V Spokoiny Journal of Business & Economic Statistics 27 (2), 224-234, 2009	144	2009
Multiscale local change point detection with applications to value-at-risk V Spokoiny	139	2009
Minimax nonparametric hypothesis testing: the case of an inhomogeneous alternative OV Lepski, VG Spokoiny Bernoulli, 333-358, 1999	117	1999
On estimation of the L _r norm of a regression function O Lepski, A Nemirovski, V Spokoiny Probability theory and related fields 113, 221-253, 1999	117	1999
Statistical Experiments And Decision, Asymptotic Theory AN Shiryaev, VG Spokoiny World Scientific, 2000	114	2000
Analyzing fMRI experiments with structural adaptive smoothing procedures K Tabelow, J Polzehl, HU Voss, V Spokoiny NeuroImage 33 (1), 55-62, 2006	104	2006
In Search of Non-Gaussian Components of a High-Dimensional Distribution. G Blanchard, M Kawanabe, M Sugiyama, V Spokoiny, KR Müller, ... Journal of Machine Learning Research 7 (2), 2006	91	2006

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