Электронная библиотека БГУ: 2013. Computer Data Analysis and Modeling. Vol 1

Issue Date Author Title Subject

2013. Computer Data Analysis and Modeling. Vol 1 : [44] Collection home page

To the 25th Anniversary of the Department of Mathematical Modeling and Data Analysis of the Belarusian State University

PREFACE

The Tenth International Conference “Computer Data Analysis and Modeling: Theoretical and Applied Stochastics” (CDAM 2013) organized by the Belarusian State University and Vienna University of Technology on Sepetember 10-14, 2013, is devoted to the topical problems in computer data analysis and modeling. The methods to be discussed during the Conference work for development of the theory and are applied in different areas influenced by stochastics: decision making in economics, engineering, medicine, ecology and others. The previous CDAM Conferences were held in September 1988, December 1990, December 1992, September 1995, June 1998, September 2001, September 2004, September 2007 and September 2010 in Minsk.

The Proceedings of the CDAM 2013 Conference include two volumes containing 100 papers by more than 120 participants from more than 20 countries. The topics of the papers cover the following research directions: Robust and Multivariate Data Analysis; Statistical Analysis of Time Series and Stochastic Processes; Probabilistic and Statistical Analysis of Discrete Data; Computer Simulation of Stochastic Systems; Computer Data Analysis in Applications; Econometric and Financial Analysis and Modeling; Survey Analysis and Official Statistics.

The Organizing Committee of the CDAM 2013 Conference makes it acknowledgements to: Belarusian State University, Vienna University of Technology, Research Institute for Applied Problems of Mathematics and Informatics of the Belarusian State University, Faculty of Applied Mathematics and Informatics of the Belarusian State University, Belarusian National Science Foundation, Ministry of Education of the Republic of Belarus, BPS-Sberbank, BelSwissBank, Belarusian Science and Technology Association “Infopark” for the support in organizing of the Conference.

S.A. Aivazian, P. Filzmoser, Yu.S. Kharin

Computer Data Analysis and Modeling: Theoretical and Applied Stochastics : Proc. of the Tenth Intern. Conf., Minsk, Sept. 10–14, 2013. In 2 vol. Vol 1. — Minsk : Publ. center of BSU, 2013. — 228 p.

ISBN 978-985-553-137-2

Editors :

Prof. Dr. S. Aivazian, Prof. Dr. P. Filzmoser, Prof. Dr. Yu. Kharin

PROGRAM COMMITTEE:

HONORARY CHAIRS:

S. Ablameyko, Rector of the Belarusian State University (Minsk, Belarus) V. Zinovskiy, Chair of the National Statistical Committee (Minsk, Belarus)

CO-CHAIRS:

Prof. S. Aivazian (Moscow, Russia) Prof. P. Filzmoser (Vienna, Austria) Prof. Yu. Kharin (Minsk, Belarus)

MEMBERS:

W. Charemza (Leicester, United Kingdom) A. Christmann (Bayreuth, Germany) D. Chibisov (Moscow, Russia) C. Croux (Leuven, Belgium) K. Ducinskas (Klaipeda, Lithuania) R. Dutter (Vienna, Austria) G. Dzemyda (Vilnius, Lithuania) A. Egorov (Minsk, Belarus) H. Friedl (Graz, Austria) I. Gaishun (Minsk, Belarus) K. Hron (Olomouz, Czech Republic) V. Krasnoproshin (Minsk, Belarus) B. Lemeshko (Novosibirsk, Russia) Yu. Mishura (Kiev, Ukraine) S. Morgenthaler (Lausanne, Switzerland) V. Mukha (Minsk, Belarus) H. Oja (Turku, Finland) Yu. Pavlov (Petrozavodsk, Russia) G. Shevlyakov (St.-Petersburg, Russia) N. Troush (Minsk, Belarus) A. Tuzikov (Minsk, Belarus) R. Viertl (Vienna, Austria) N. Yanev (Sofia, Bulgaria) A. Zubkov (Moscow, Russia)

Editors-in-Chief:

V.I. Kuvshinov, A.L. Tolstik

LOCAL ORGANIZING COMMITTEE:

CO-CHAIRS:

P. Mandrik, Dean of the Faculty of Applied Mathematics and Informatics Yu. Kharin, Director of the Research Institute for Applied Problems of Mathematics and Informatics

MEMBERS:

V. Malugin – conference secretary, invitation letters, program H. Aheyeva – visa support I. Bodiagin – technical organizing of sessions O. Golos – registration A. Kapusta, M. Mitskevich – conference web site A. Kharin – e-correspondence, reviewing process A. Shilkin – publishing M. Maltsew, E. Vechorko – transport service E. Melnikova – finance, registration E. Orlova, S. Staleuskaya, N. Shenets – social program I. Pirshtuk, V. Voloshko – accommodation, arrival, departure

Supporting organizations: BELARUSIAN STATE UNIVERSITY VIENNA UNIVERSITY OF TECHNOLOGY RESEARCH INSTITUTE FOR APPLIED PROBLEMS OF MATHEMATICS AND INFORMATICS INSTITUTE OF MATHEMATICS OF THE NATIONAL ACADEMY OF SCIENCES OF BELARUS UNITED INSTITUTE OF INFORMATICS PROBLEMS OF THE NATIONAL ACADEMY OF SCIENCES OF BELARUS BELARUSIAN REPUBLICAN FOUNDATION FOR FUNDAMENTAL RESEARCH BELARUSIAN STATISTICAL ASSOCIATION

Collection's Items (Sorted by Submit Date in Descending order): 21 to 40 of 44

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Issue Date	Title	Author(s)
2013	Semiparametric estimation in mixture models with varying mixing probabilities	Doronin, A. V.
2013	Detection of outliers with boxplots	Andrea, K.; Shevlyakov, G. L.; Smirnov, P. O.
2013	Differences between the pearson statistics distribution function and non–central chi–square distribution function	Filina, M. V.; Zubkov, A. M.
2013	On the exact tolerance intervals for univariate normal distribution	Witkovsky, Viktor
2013	Eneralized method of wavelet moments for the estimation of composite stochastic models	Pia, Maria; Feser, Victoria
2013	R tools for robust statistical analysis of high–dimensional data	Todorov, V.; Filzmoser, P.
2013	Providing data with high utility and no disclosure risk for the public and researchers: an evaluation by advanced statistical disclosure risk methods	Templ, M.
2013	Rank tests for multi-sample location problem	Stoimenova, Eugenia
2013	Some remarks on robust estimation of power spectra	Shevlyakov, G. L.; Lyubomishchenko, N. S.; Smirnov, P. O.
2013	Goodness of fit tests based on kernel density estimators	Rudzkis, R.; Bakshaev, A.
2013	Scalability properties of a new forward search algorithm	Perrotta, D.; Riani, M.; Cerioli, A.; Torti, F.
2013	Parameter estimation in the models with long-range dependence	Mishura, Y. S.; Ralchenko, K. V.; Shevchenko, G. M.
2013	Testing for structural Heterogeneity in vector autoregressive model by means of statistical classification methods	Malugin, V.
2013	Power-law graphs robustness and forest fires	Leri, M. M.; Pavlov, Yu. L.
2013	On acquisition of nociceptive evoked potentials In rats cerebral cortex	Kolchin, A. V.; Ionkina, E. G.
2013	Long-memory discrete-valued time series: models and methods	Kharin, Yu. S.
2013	Equential testing of parametric hypotheses: performance, robustness and application	Kharin, A. Yu.
2013	On outliers and interventions in count time series following glms	Fried, R.; Elsaied, H.; Liboschik, T.
2013	Fourier–type estimation of the power garch model with stable–paretian innovations	Francq, C.; Meintanis, S. G.
2013	Some remarks on decomposition of partitioned multivariate models into two seemingly unrelated submodels	Fiˇserová, E.; Kubáˇcek, L.