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INTERNATIONAL CONFERENCE
Robust Statistics and Financial Mathematics
Russia, Tomsk State University
July 4-6, 2022
Organizers
Satellite to
Organizers
Satellite to
ABOUT CONFERENCE
The main goal of the conference is to bring together the researchers and practitioners from all areas within mathematical statistics, financial and insurance mathematics. The proceedings will be partially published in a special issue of the journal "Sequential Analysis" dedicated to RSFM - 2022.
Another goal is to promote the development
of the robust statistics and financial mathematics methods and their applications in Russia
TOPICS OF THE WORKSHOP
Efficient statistical robust estimation methods
Mathematical and insurance finance
Sequential analysis and its applications to epidemic studies and clinical trials
Signal/image processing methods
Big data models
Efficient statistical robust estimation methods
Mathematical and insurance finance
Sequential analysis and its applications to epidemic studies and clinical trials
Signal/image processing methods
Big data models
PROGRAM (SUBJECT TO CHANGE)
4 July
General public conference
4-6 July
Plenary talks
4-6 July
Guest lecture
By researchers of the highest international scientific level
ORGANIZING COMMITTEE
Russia
France
Serguei M. Pergamenshchikov
Co-chairman, Rouen University and Tomsk State University
Russia
Andrey Yu. Vesnin
Co-chairman, Tomsk State University
Russia
Evgeny A. Pchelintsev, vice-chairman/contact person
Tomsk State University
MEMBERS
Russia
Leonid V. Genze
Tomsk State University
Russia
Vyacheslav A. Vasiliev
Tomsk State University
Russia
Serguei E. Vorobeychikov
Tomsk State University
SCIENTIFIC COMMITTEE
France
Mohamed Ben Alaya
Professor, director of the Statistical Team, Laboratory of Mathematics Raphaël Salem (LMRS), University of Rouen
Russia
Oleg V. Chernoyarov
Professor, Department of Electronics and Nanoelectronics, National Research University "Moscow Power Engineering Institute"
France
Dominique Fourdrinier
Professor, Laboratory of informatics, information processing and systems (LITIS), University of Rouen
Russia
France
Yury M. Kabanov
Professor, Laboratory of Mathematics, University of Franche Comté
Russia
France
Yury A. Kutoyants
Professor, laboratory of Stochastic Processes, University of Le Mans, France and International Laboratory of Statistics of Stochastic Processes and Quantitative Finance (ILSSP&QF), Tomsk State University
Russia
France
Serguei M. Pergamenshchikov
Professor, Laboratory of Mathematics Raphaël Salem (LMRS), University of Rouen and International Laboratory of Statistics of Stochastic Processes and Quantitative Finance (ILSSP&QF), Tomsk State University
Germany
Robert Stelzer
Professor, Institute of Mathematical Finance, Ulm University
PLENARY SPEAKERS
France
Laurence Carassus
Dean for research of the French Engineering school ESILV in Paris, professor in the University of Reims
France
Emmanuel Lépinette
Associate Professor at Paris-Dauphine University in the field of mathematical finance
USA
Nitis Mukhopadhyay
Ph.D. 1975, Indian Statistical Institute-Calcutta, full professor in the Department of Statistics, University of Connecticut-Storrs, USA (since 1985)
Russia
France
Yury A. Kutoyants
Professor, laboratory of Stochastic Processes, University of Le Mans, France and International Laboratory of Statistics of Stochastic Processes and Quantitative Finance (ILSSP&QF), Tomsk State University
GUEST LECTURE
USA
Vlad Dragalin
Ph.D., Vice President, Scientific Fellow Global Head of Quantitative Sciences Consulting Janssen Pharmaceutical Companies at Johnson & Johnson, Head of QS Consulting and is chairing the QSTEPS Advisory Committee
SPONSORS
WELCOME TO TOMSK
Tomsk is an old Siberian town called the Siberian Athens. It is situated on the bank of the Tom river in West Siberia. It is surrounded by fine forests of pine, birch, cedar and fir trees. Tomsk has always been the city of intellectuals, businessmen, scientists, artists and students. It has the reputation of a University town since it's numerous universities are famous for their academic excellence. This city is widely considered the top city to take in wooden architecture in Siberia and learn something about this region’s aristocratic past.
RSFM-2022
634050, Lenin Ave 36, Tomsk, Russia
634050, Lenin Ave 36, Tomsk, Russia