Workshop : S.A.P.S X (17-20 Mars 2015)
Workshop : S.A.P.S X (17-20 Mars 2015)Workshop : S.A.P.S X (17-20 Mars 2015)
Presentation
Asymptotical Statistics of Stochastic Processes X
(Statistique Asymptotique des Processus Stochastiques X)
Université du Maine, Le Mans, 17-20 March, 2015
The purpose of this workshop is to stimulate research in statistical inference for continuous time stochastic processes. This branch of mathematical statistics attracts more and more attention of the statisticians and probabilists because first : the real systems are often well described by the continuous time mathematical models (equations of mathematical physics, point processes, diffusion processes, stochastic differential equations with partial derivatives, stable processes etc.) and the second : the diversity of the models and the diversity of the statements of the statistical problems make these models quite attractive for the mathematicians because all these allow to obtain many new results which sometimes have no analogue in discrete time models. Note that solutions obtained for continuous time models can be valid for discrete schemes of observation too. The computer realizations of the statistical algorithms (real data applications) requires that a special attention have to be payed to the effects due to discretization of continuous-time trajectories. Therefore, we wait that one (important) part of the talks will be devoted to statistical inference for discrete time observations (of continuous time systems).
Scientific Programme Committee :
Yu. Kutoyants, N. Yoshida.
Local Organizing Committee :
M. Ben Abdeddaiem, A. Brouste, S. Dachian, S. Gasparyan, M. Kleptsyna, Yu. Kutoyants (Chair), A. Top, V. Zaiats
Sponsors : Faculté des Sciences et Techniques, LMM, Le Mans Métropole, Conseil Général de la Sarthe, Université du Maine, FR 2962 du CNRS Mathématiques des Pays de Loire, Conseil Régional des Pays de la Loire, ANR STOSYMAP
Contact :
Yury A. Kutoyants
Université du Maine
Laboratoire Manceau de Mathématiques
Avenue Olivier Messiaen
72085 Le Mans CEDEX 9
Tel : (33) (0) 2 43 83 32 19
E-mail : Yury.Kutoyants @ univ-lemans.fr
Participants
- Ben Abdeddaiem Marwa, Le Mans
- Bosq Denis, Paris
- Brouste Alexandre, Le Mans
- Burnashev Marat, Moscow
- Cai Chunhao, Tianjin
- Chernoyarov Oleg, Moscow
- Chigansky Pavel, Jerusalem
- Cialenco Igor, Chicago
- Dabye Ali, Saint Louis
- Dachian Sergueï, Clermont-Ferrand
- Dalalyan Arnak, Paris
- Dehay Dominique, Rennes
- Djellout Hacene, Clermont-Ferrand
- Ermakov Mikhail, S. Petersburg
- Farinetto Christian, Le Mans
- Gasparyan Samvel, Le Mans
- Gloter Arnaud, Evry
- Golubev Yuri, Marseille
- Gushchin Alexander, Moscow
- Höpfner Reinhard, Mainz
- Ibragimov Ildar, St. Petersburg
- Kamatani, Kengo, Osaka
- Kleptsyna Marina, Le Mans
- Koike Yuta, Tokyo
- Korso Malika, Tlemcen
- Kutoyants Yury, Le Mans
- Liptser Robert, Tel Aviv
- Litvinov Sergey, Moscow
- Lototsky Sergey, Los Angeles
- Malyutov Mikhail, Boston
- Martynov Genadii, Moscow
- Masuda Hiroki, Fukuoka
- Mishura Yulia, Kiev
- Motrunich Anastasiia, Le Mans
- Mourid Tahar, Tlemcen
- Negri Ilia, Bergamo
- Nikulin Mikhail, Bordeaux
- Ogihara Tappei , Tokyo
- Pergamenshchikov Sergei, Rouen
- Podolskij Mark, Aarhus
- Popier Alexandre, Le Mans
- Prior Ana, Lisbon
- Ralchenko Kostiantyn, Kiev
- Rozanov Artem, Moscow
- Sai Si Thu Min, Moscow
- Salnikova Aleksandra, Moscow
- Shepelev Dmitrii, Moscow
- Shimizu Yasutaka, Tokyo
- Solev Valentin, St. Petersburg
- Top Alioune, Saint Louis
- Uchida Masayuki, Osaka
- Vostrikova Lyudmila, Angers
- Yang Lin, Fuzhou
- Yoshida Nakahiro,Tokyo
- Zaiats Vladimir, Barcelona
- Zhou Li, Weihai
Program
Asymptotical Statistics of Stochastic Processes X
(Statistique Asymptotique des Processus Stochastiques X)
Le Mans, 17 - 20 March, 2015
Tuesday, March 17
- Morning session chair : Podolskij M.
- Afternoon session chair : Gushchin A.
09h00 - 09h10 |
Opening | ||
09h10 - 09h45 |
Yoshida N. Ultra high frequency data and statistical inference : back to the continuous-time paradigm. |
Slides | |
09h45 - 10h20 |
Koike Y. Detecting infinitesimal lead-lag effects from noisy high-frequency data. | ||
10h20 - 10h40 |
Break | ||
10h40 - 11h15 |
Küchler U. Sequential parameter estimators with guaranteed accuracy for delay differential equations. | ||
11h15 - 11h50 |
Gushchin A. Continuity of stationary solutions of delay differential equations driven by Lévy processes. | ||
11h50 - 11h55 |
Break | ||
11h55 - 12h30 |
Höpfner R. Harris recurrence for strongly degenerate stochastic systems, with application to stochastic Hodgkin-Huxley models. | ||
12h30 - 14h00 |
Lunch | ||
14h00 - 14h35 |
Negri I. Z-process method for statistical change point problems. | ||
14h35 - 15h10 |
Bosq D. Detecting instants of jumps and estimating intensity of jumps from continuous or discrete data. | ||
15h10 - 15h30 |
Break | ||
15h30 - 16h05 |
Dachian S. On hypotheses testing for Poisson processes : regular and singular cases. | ||
16h05 - 16h40 |
Chigansky P. Inference in models with mixed fractional Brownian motion part II. | ||
16h40 - 16h50 |
Break | ||
16h50 - 17h25 |
Mishura Yu. Consistency of the drift parameter estimator for the discretized Ornstein-Uhlenbeck process involving fBm with Hurst index \textit{H} \in (0, {1\over 2} ) . | ||
17h25 - 18h00 |
Ralchenko K. Drift parameter estimation in models with fractional Brownian motion by discrete observations. |
Wednesday, March 18
- Morning session chair : Höpfner R.
- Afternoon session chair : Küchler U.
09h00 - 09h35 |
Ibragimov I. On the estimation of analytic intensity density Poisson random fields. |
Slides | |
09h35 - 10h10 |
Golubev Yu.. Minimax interpolation of smooth random processes. | ||
10h10 - 10h30 |
Break | ||
10h30 - 11h05 |
Dalalyan A. Langevin diffusion and approximate sampling from a smooth and log-concave density. | ||
11h05 - 11h40 |
Ogihara T. Parametric inference for diffusion processes with noisy, nonsynchronous observations. | ||
11h40 - 11h55 |
Break | ||
11h55 - 12h30 |
Cialenco I. Hypothesis testing for Stochastic PDEs. | ||
12h30 - 14h00 |
Lunch | ||
14h00 - 14h35 |
Bercu B. Large deviations for the Ornstein-Uhlenbeck process without tears. | ||
14h35 - 15h10 |
Lototsky S. Parameter estimation in second-order continuous time Gaussian autoregressions. | ||
15h10 - 15h30 |
Break | ||
15h30 - 16h05 |
Kamatani K. Efficient strategy of MCMC in high-dimensional and its application to diffusion process. | ||
16h05 - 16h40 |
Dehay D. Block bootstrap for Poisson-sampled almost periodic processes. | ||
16h40 - 17h10 |
Mourid T. Parametric estimation in non recurrent diffusion processes. | ||
17h10 - 17h20 |
Break | ||
17h20 - 18h00 |
Poster Session Ben Abdeddaiem M., Cai C., Gasparyan S., Korso M., Motrunich A., Rozanov A.E. and Litvinov S.V., Top A., Yang L., Zhou L. |
Thursday, March 19
- Morning session chair : Mishura Y.
09h00 - 09h35 |
Gloter A. Local asymptotic mixed normality property for discretely observed SDE driven by stable Lévy processes. | ||
09h35 - 10h10 |
Masuda H. On variants of stable quasi-likelihood for Lévy driven SDE. | ||
10h10 - 10h30 |
Break | ||
10h30 - 11h05 |
Podolskij M. Limit theorems for stationary increments Lévy driven moving average processes. | ||
11h05 - 11h40 |
Shimizu Y. LSE-type estimation for stochastic processes with small Lévy noise. | ||
11h40 - 11h45 |
Break | ||
11h45 - 12h20 |
Pergamenchtchikov S. Efficient pointwise estimation based on discrete data in ergodic nonparametric diffusions. | ||
12h20 - 14h00 |
Lunch | ||
15h00 - 17h00 |
Excursion in "Vieux Mans" | ||
20h00 |
Conference Dinner |
Friday, March 20
- Morning session chair : Uchida M.
- Afternoon session chair : Yoshida N.
09h00 - 09h35 |
Burnashev M. Some comparison theorems for minimax detection of Gaussian stochastic signals. | ||
09h35 - 10h10 |
Ermakov M. On consistent hypothesis testing. | ||
10h10 - 10h30 |
Break | ||
10h30 - 11h05 |
Martynov G. Cramér-von Mises test for Gaussian distribution in Hilbert Space. | ||
11h05 - 11h40 |
Solev V. Vector Hunt-Mackenhoupt-Wheeden condition and an estimating problem. | ||
11h40 - 11h45 |
Break | ||
11h45 - 12h20 |
Dabye A. On minimum Lp -distance estimation for inhomogeneous Poisson processes. | ||
12h20 - 14h00 |
Lunch | ||
14h00 - 14h35 |
Zaiats V. On asymptotically efficient estimation in partially observed systems. | ||
14h35 - 15h10 |
Uchida M. Hybrid multi-step estimation of the volatility for stochastic regression models. | ||
15h10 - 15h45 |
Kutoyants Yu. On multi-step MLE-processes for some stochastic models. | ||
15h45 |
Closing |