Vladimir Spokoiny

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	Semua	Sejak 2020
Kutipan	8858	2854
indeks-h	45	24
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Wolfgang Karl HärdleHumboldt-Universität zu Berlin, Ladislaus von Bortkiewicz Professor of StatisticsEmail yang diverifikasi di hu-berlin.de
Anatoli JuditskyProfessor at Université Grenoble-AlpesEmail yang diverifikasi di univ-grenoble-alpes.fr
Prof. Dr. Denis BelomestnyDuisburg-Essen UniversityEmail yang diverifikasi di uni-due.de
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyEmail yang diverifikasi di tu-berlin.de
Thorsten DickhausProfessor of Mathematical Statistics at University of BremenEmail yang diverifikasi di uni-bremen.de
Gilles BlanchardProfessor of Statistics, University of Paris-SaclayEmail yang diverifikasi di universite-paris-saclay.fr
Arkadi NemirovskiProfessor and Jh. Hunter Academic Chair, School of Industrial and Systems Engineering, GeorgiaEmail yang diverifikasi di isye.gatech.edu
Ying ChenDepartment of Mathematics, National University of SingaporeEmail yang diverifikasi di nus.edu.sg
Weining WangUniversity of GroningenEmail yang diverifikasi di rug.nl
V.KatkovnikProfessor of Computer ScienceEmail yang diverifikasi di tuni.fi
Arnak S. DalalyanProfessor, CREST, ENSAE Paris, IP ParisEmail yang diverifikasi di ensae.fr

Ikuti

Vladimir Spokoiny

Professor for Statistics, Humboldt University und WIAS Berlin

Email yang diverifikasi di wias-berlin.de

Nonparametric statistics


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Random gradient-free minimization of convex functions Y Nesterov, V Spokoiny Foundations of Computational Mathematics 17 (2), 527-566, 2017	1304	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	455	2001
Direct estimation of the index coefficient in a single-index model M Hristache, A Juditsky, V Spokoiny Annals of Statistics, 595-623, 2001	414	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	398	1997
Adaptive weights smoothing with applications to image restoration J Polzehl, VG Spokoiny Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2000	310	2000
Adaptive hypothesis testing using wavelets VG Spokoiny The Annals of Statistics 24 (6), 2477-2498, 1996	305	1996
Optimal pointwise adaptive methods in nonparametric estimation OV Lepski, VG Spokoiny The Annals of Statistics 25 (6), 2512-2546, 1997	295	1997
Propagation-separation approach for local likelihood estimation J Polzehl, V Spokoiny Probability Theory and Related Fields 135, 335-362, 2006	251	2006
Structure adaptive approach for dimension reduction M Hristache, A Juditsky, J Polzehl, V Spokoiny Annals of Statistics, 1537-1566, 2001	250	2001
Multiscale testing of qualitative hypotheses L Dümbgen, VG Spokoiny Annals of Statistics, 124-152, 2001	243	2001
Statistical inference for time-inhomogeneous volatility models D Mercurio, V Spokoiny	193	2004
Parametric estimation. Finite sample theory V Spokoiny	190	2012
Estimation of a function with discontinuities via local polynomial fit with an adaptive window choice VG Spokoiny Annals of Statistics, 1356-1378, 1998	158	1998
Inhomogeneous dependence modeling with time-varying copulae E Giacomini, W Härdle, V Spokoiny Journal of Business & Economic Statistics 27 (2), 224-234, 2009	152	2009
Multiscale local change point detection with applications to value-at-risk V Spokoiny	150	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	128	1999
Minimax nonparametric hypothesis testing: the case of an inhomogeneous alternative OV Lepski, VG Spokoiny	126	1999
Statistical Experiments And Decision, Asymptotic Theory AN Shiryaev, VG Spokoiny World Scientific, 2000	124	2000
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 (9), 247-282, 2006	107	2006
Analyzing fMRI experiments with structural adaptive smoothing procedures K Tabelow, J Polzehl, HU Voss, V Spokoiny NeuroImage 33 (1), 55-62, 2006	105	2006

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