RUS  ENG JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PERSONAL OFFICE
 
Spokoiny Vladimir Grigor'evich

Statistics Math-Net.Ru
Total publications: 14
Scientific articles: 14
Cited articles: 4
Citations in Math-Net.Ru: 15
Presentations: 52

Number of views:
This page:3533
Abstract pages:2464
Full texts:568
References:230
Doctor of physico-mathematical sciences
E-mail:

http://www.mathnet.ru/eng/person21752
List of publications on Google Scholar
List of publications on ZentralBlatt
http://www.ams.org/mathscinet/search/author.html?return=viewitems&mrauthid=200375

Publications in Math-Net.Ru
1. Multiscale approach for change point detection
A. L. Suvorikova, V. G. Spokoiny
Teor. Veroyatnost. i Primenen., 61:4 (2016),  774–804
2. On the efficiency of a randomized mirror descent algorithm in online optimization problems
A. V. Gasnikov, Yu. E. Nesterov, V. G. Spokoiny
Zh. Vychisl. Mat. Mat. Fiz., 55:4 (2015),  582–598
3. Critical dimension in the semiparametric Bernstein–von Mises theorem
Maxim E. Panov, Vladimir G. Spokoiny
Tr. Mat. Inst. Steklova, 287 (2014),  242–266
4. Uniform properties of the local maximum likelihood estimate
M. M. Zhilova, V. G. Spokoiny
Avtomat. i Telemekh., 2013, no. 10,  68–85
5. Properties of the posterior distribution of a regression model based on Gaussian random fields
A. A. Zaytsev, E. V. Burnaev, V. G. Spokoiny
Avtomat. i Telemekh., 2013, no. 10,  55–67
6. Properties of the Bayesian parameter estimation of a regression based on Gaussian processes
A. A. Zaytsev, E. V. Burnaev, V. G. Spokoiny
Fundam. Prikl. Mat., 18:2 (2013),  53–65
7. Bayesian model selection and the concentration of the posterior of hyperparameters
N. P. Baldin, V. G. Spokoiny
Fundam. Prikl. Mat., 18:2 (2013),  13–34
8. The Bernstein–von Mises theorem for regression based on Gaussian Processes
E. V. Burnaev, A. A. Zaytsev, V. G. Spokoiny
Uspekhi Mat. Nauk, 68:5(413) (2013),  179–180
9. Concentration inequalities for smooth random fields
D. V. Belomestny, V. G. Spokoiny
Teor. Veroyatnost. i Primenen., 58:2 (2013),  401–410
10. Pareto approximation of the tail by local exponential modeling
Ion Grama, Vladimir Spokoiny
Bul. Acad. Ştiinţe Repub. Mold. Mat., 2007, no. 1,  3–24
11. On the concept of $\lambda$-convergence of statistical experiments
V. G. Spokoiny, A. N. Shiryaev
Trudy Mat. Inst. Steklov., 202 (1993),  282–286
12. On construction of optimal strategies of parameter estimation for controllable systems
V. G. Spokoiny
Trudy Mat. Inst. Steklov., 202 (1993),  258–281
13. On asymptotic properties of estimates under sequential design
M. B. Malyutov, L. A. Orna Uaraka, V. G. Spokoiny
Trudy Mat. Inst. Steklov., 202 (1993),  190–208
14. On the design of regression experiments with dependent errors
V. G. Spokoiny
Uspekhi Mat. Nauk, 43:1(259) (1988),  209–210

Presentations in Math-Net.Ru
1. Advanced statistical methods, Lecture 3

March 21, 2017   
2. Advanced statistical methods, Lecture 2

February 14, 2017   
3. Advanced statistical methods, Lecture 1

February 7, 2017   
4. Dimension reduction
Problems in Stochastic Analysis
September 10, 2016 11:00   
5. Inference for Structural Nonparametrics. Lecture 6
V. G. Spokoinyi, Inference for Structural Nonparametrics
March 1, 2016   
6. Inference for Structural Nonparametrics. Lecture 5
V. G. Spokoinyi, Inference for Structural Nonparametrics
February 29, 2016   
7. Inference for Structural Nonparametrics. Lecture 4
V. G. Spokoinyi, Inference for Structural Nonparametrics
February 22, 2016   
8. Inference for Structural Nonparametrics. Lecture 3
V. G. Spokoinyi, Inference for Structural Nonparametrics
February 17, 2016   
9. Inference for Structural Nonparametrics. Lecture 2
V. G. Spokoinyi, Inference for Structural Nonparametrics
February 16, 2016   
10. Inference for Structural Nonparametrics. Lecture 1
V. G. Spokoinyi, Inference for Structural Nonparametrics
February 15, 2016   
11. Mini-course "Model Selection". Lecture 6
Problems in Stochastic Analysis
March 3, 2015 19:20   
12. Mini-course "Model Selection". Lecture 5
Problems in Stochastic Analysis
March 2, 2015 19:20   
13. Mini-course "Model Selection". Lecture 4
Problems in Stochastic Analysis
February 24, 2015 19:20   
14. Mini-course "Model Selection". Lecture 3
Problems in Stochastic Analysis
February 23, 2015 19:20   
15. Gaussian multiplier bootstrap in high dimension with applications to model selection
Colloquium of the Faculty of Computer Science
February 19, 2015 16:40   
16. Multiscale change-point detection
PreMoLab Seminar
February 18, 2015 17:00   
17. Mini-course "Model Selection". Lecture 2
Problems in Stochastic Analysis
February 17, 2015 19:20   
18. Mini-course "Model Selection". Lecture 1
Problems in Stochastic Analysis
February 16, 2015 19:20   
19. From lambda-convergence to Fisher and Wilks expansions
Conference "Stochastics, Statistics, Financial Mathematics" in honor of Professor Albert Shiryaev's 80th anniversary
October 13, 2014 14:30   
20. Construction of the sharp confidence bands using multiplier bootstrap
Advances in Stochastic Analysis
September 5, 2014 17:00   
21. Modern Parametric Statistics. Lecture 6
Problems in Stochastic Analysis
February 25, 2014 19:00   
22. Modern Parametric Statistics. Lecture 5
Problems in Stochastic Analysis
February 24, 2014 19:00   
23. Modern Parametric Statistics. Lecture 4
Problems in Stochastic Analysis
February 18, 2014 19:00   
24. Modern Parametric Statistics. Lecture 3
Problems in Stochastic Analysis
February 17, 2014 19:00   
25. Modern Parametric Statistics. Lecture 2
Problems in Stochastic Analysis
February 11, 2014 19:00   
26. Modern Parametric Statistics. Лекция 1
V. Spokoinyi course «Modern Parametric Statistics»
February 11, 2014   
27. Modern Parametric Statistics. Lecture 1
Problems in Stochastic Analysis
February 10, 2014 19:00   
28. Some topics in predictive modeling
PreMoLab Seminar
December 26, 2013 15:30   
29. Задачи современной статистики
Mathematical Seminar
November 5, 2013 18:00   
30. Robust clustering using adaptive weights
International Workshop on Statistical Learning
June 27, 2013 12:00   
31. Основы современной параметрической статистики. Лекция 6
Problems in Stochastic Analysis
February 26, 2013   
32. Основы современной параметрической статистики. Лекция 6
V. Spokoinyi course «Modern Parametric Statistics»
February 26, 2013   
33. Основы современной параметрической статистики. Лекция 5
Problems in Stochastic Analysis
February 25, 2013   
34. Основы современной параметрической статистики. Лекция 5
V. Spokoinyi course «Modern Parametric Statistics»
February 25, 2013   
35. Основы современной параметрической статистики. Лекция 4
Problems in Stochastic Analysis
February 19, 2013   
36. Основы современной параметрической статистики. Лекция 4
V. Spokoinyi course «Modern Parametric Statistics»
February 19, 2013   
37. Основы современной параметрической статистики. Лекция 3
Problems in Stochastic Analysis
February 18, 2013   
38. Основы современной параметрической статистики. Лекция 3
V. Spokoinyi course «Modern Parametric Statistics»
February 18, 2013   
39. Основы современной параметрической статистики. Лекция 2
Problems in Stochastic Analysis
February 12, 2013   
40. Основы современной параметрической статистики. Лекция 2
V. Spokoinyi course «Modern Parametric Statistics»
February 12, 2013   
41. Основы современной параметрической статистики. Лекция 1
Problems in Stochastic Analysis
February 11, 2013   
42. Основы современной параметрической статистики. Лекция 1
V. Spokoinyi course «Modern Parametric Statistics»
February 11, 2013   
43. Parametric statistics: modern view. Premoday, December, 2013
Problems in Stochastic Analysis
December 22, 2012   
44. Пленарное заседание факультета управления и прикладной математики МФТИ (ГУ) на 55-й научной конференции МФТИ. Снижение размерности методом негауссовских компонент
Mathematical Seminar
November 24, 2012   
45. Bernstein - von Mises Theorem for quasi-posterior
PreMoLab Seminar
March 16, 2012 17:00
46. Современная параметрическая статистика. Лекция 6
Mathematical Seminar
February 28, 2012   
47. Современная параметрическая статистика. Лекция 5
Mathematical Seminar
February 27, 2012   
48. Semiparametric alternation: convergence and efficiency
Principle Seminar of the Department of Probability Theory, Moscow State University
February 22, 2012 16:45
49. Современная параметрическая статистика. Лекция 4
Mathematical Seminar
February 21, 2012   
50. Современная параметрическая статистика. Лекция 3
Mathematical Seminar
February 20, 2012   
51. Современная параметрическая статистика. Лекция 2
Mathematical Seminar
February 14, 2012   
52. Современная параметрическая статистика. Лекция 1
Mathematical Seminar
February 13, 2012   

Organisations
 
Contact us:
 Terms of Use  Registration  Logotypes © Steklov Mathematical Institute RAS, 2017