Vladimir Spokoiny

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Wolfgang Karl HärdleHumboldt-Universität zu Berlin, Ladislaus von Bortkiewicz Professor of StatisticsDirección de correo verificada de hu-berlin.de
Anatoli JuditskyProfessor at Université Grenoble-AlpesDirección de correo verificada de univ-grenoble-alpes.fr
Prof. Dr. Denis BelomestnyDuisburg-Essen UniversityDirección de correo verificada de uni-due.de
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyDirección de correo verificada de tu-berlin.de
Thorsten DickhausProfessor of Mathematical Statistics at University of BremenDirección de correo verificada de uni-bremen.de
Gilles BlanchardProfessor of Statistics, University of Paris-SaclayDirección de correo verificada de universite-paris-saclay.fr
Arkadi NemirovskiProfessor and Jh. Hunter Academic Chair, School of Industrial and Systems Engineering, GeorgiaDirección de correo verificada de isye.gatech.edu
Ying ChenDepartment of Mathematics, National University of SingaporeDirección de correo verificada de nus.edu.sg
Weining WangUniversity of GroningenDirección de correo verificada de rug.nl
V.KatkovnikProfessor of Computer ScienceDirección de correo verificada de tuni.fi
Arnak S. DalalyanProfessor, CREST, ENSAE Paris, IP ParisDirección de correo verificada de ensae.fr

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Vladimir Spokoiny

Professor for Statistics, Humboldt University und WIAS Berlin

Dirección de correo verificada de wias-berlin.de

Nonparametric statistics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Random gradient-free minimization of convex functions Y Nesterov, V Spokoiny Foundations of Computational Mathematics 17 (2), 527-566, 2017	1186	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	444	2001
Direct estimation of the index coefficient in a single-index model M Hristache, A Juditsky, V Spokoiny Annals of Statistics, 595-623, 2001	405	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	390	1997
Adaptive weights smoothing with applications to image restoration J Polzehl, VG Spokoiny Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2000	306	2000
Adaptive hypothesis testing using wavelets VG Spokoiny The Annals of Statistics 24 (6), 2477-2498, 1996	298	1996
Optimal pointwise adaptive methods in nonparametric estimation OV Lepski, VG Spokoiny The Annals of Statistics 25 (6), 2512-2546, 1997	288	1997
Propagation-separation approach for local likelihood estimation J Polzehl, V Spokoiny Probability Theory and Related Fields 135, 335-362, 2006	252	2006
Multiscale testing of qualitative hypotheses L Dumbgen, VG Spokoiny Annals of Statistics, 124-152, 2001	242	2001
Structure adaptive approach for dimension reduction M Hristache, A Juditsky, J Polzehl, V Spokoiny Annals of Statistics, 1537-1566, 2001	233	2001
Statistical inference for time-inhomogeneous volatility models D Mercurio, V Spokoiny	194	2004
Parametric estimation. Finite sample theory V Spokoiny	183	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	152	1998
Inhomogeneous dependence modeling with time-varying copulae E Giacomini, W Härdle, V Spokoiny Journal of Business & Economic Statistics 27 (2), 224-234, 2009	147	2009
Multiscale local change point detection with applications to value-at-risk V Spokoiny	146	2009
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	126	1999
Statistical Experiments And Decision, Asymptotic Theory AN Shiryaev, VG Spokoiny World Scientific, 2000	121	2000
Minimax nonparametric hypothesis testing: the case of an inhomogeneous alternative OV Lepski, VG Spokoiny	120	1999
Analyzing fMRI experiments with structural adaptive smoothing procedures K Tabelow, J Polzehl, HU Voss, V Spokoiny NeuroImage 33 (1), 55-62, 2006	106	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	100	2006

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