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
Presentations: 54

Number of views:
This page:3954
Abstract pages:2943
Full texts:687
References:326
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. Statistical inference with optimal transport
V. G. Spokoiny

April 14, 2018 11:00
2. Современные методы математической статистики на примере задачи оценки ковариационной матрицы спектральных проекторов
V. G. Spokoiny
Mathematical Workshop of the School of Applied Mathematics and Computer Science (MIPT)
February 16, 2018 18:30
3. Advanced statistical methods, Lecture 3
V. G. Spokoiny

March 21, 2017   
4. Advanced statistical methods, Lecture 2
V. G. Spokoiny

February 14, 2017   
5. Advanced statistical methods, Lecture 1
V. G. Spokoiny

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

Organisations
 
Contact us:
  Terms of Use  Registration  Logotypes © Steklov Mathematical Institute RAS, 2018