Informatics and Applications
2016, Volume 10, Issue 1, pp 72-81
CONCEPT OF ONLINE SERVICE FOR STOCHASTIC MODELING OF REAL PROCESSES
Abstract
Information flows analysis based on various probabilistic models is widely used in various applied fields.
The article describes the basic principles of construction of the new online system for stochastic modeling of real processes, which has no analogue due to the universality of the set of methods and the concept of an Internet resource; so, the end user should not check personal computer's specifications and could upload data to the server immediately and then process the samples.
[+] References (12)
- Korolev, V.Yu. 2011. Veroyatnostno-statisticheskie metody dekompozitsii volatil'nosti khaoticheskikh protsessov [Probabilistic and statistical methods of decomposition of volatility of chaotic processes]. Moscow: Moscow Uni-versity Publishing House. 512 p.
- Korolev, V.Yu., A. Yu. Korchagin, and A. K. Gorshenin.
2015. Nekotorye svoystva dispersionno-sdvigovykh smesey normal'nykh zakonov [Some properties of variance-mean normal mixtures]. Statisticheskie Metody Otsenivaniya i Proverki Gipotez [Statistical Methods of Estimation and Hypothesis Testing] 26:134-153.
- Gorshenin, A. K., V. Yu. Korolev, and A. M. Tursunbaev. 2008. Mediannye modifikatsii EM- i SEM-algoritmov dlya razdeleniya smesey veroyatnostnykh raspredeleniy i ikh primenenie k dekompozitsii volatil'nosti finansovykh vremennykh ryadov [Median modification of EM- and SEM-algorithms for separation of mixtures of probability distributions and their application to the decomposition of volatility of financial time series]. Informatika i ee Prime-neniya - Inform. Appl. 2(4):12-47.
- Gorshenin, A.K., V.Yu. Korolev, D.V. Malakhov, and N. N. Skvortsova. 2011. Analiz tonkoy stokhasticheskoy struktury khaoticheskikh protsessov s pomoshch'yu yadernykh otsenok [Analysis of fine stochastic structure of chaotic processes by kernel estimators]. Matematicheskoe Modelirovanie [Mathematical Modeling] 23(4):83-89.
- Gorshenin, A.K., V.Yu. Korolev, D.V. Malakhov, and N. N. Skvortsova. 2012. Ob issledovanii plazmennoy turbulentnosti na osnove analiza spektrov [On the investiga
tion of plasma turbulence by the analysis of the spectra]. Komp'yuternye Issledovaniya i Modelirovanie [Computer Research and Modeling] 4(4):793-802.
- Hamedi, M., S.-H. Salleh, Ting Chee-Ming, S. B. Samdin, and A. Mohd Noor. 2015. Sensor space time-varying information flow analysis of multiclass motor imagery through Kalman smoother and EM algorithm. Conference (International) on BioSignal Analysis, Processing and Systems (ICBAPS) Proceedings. 118-122.
- Abanto-Vallea, C. A., D. Bandyopadhyayb, V. H. Lachosc, and I. Enriquezd. 2010. Robust Bayesian analysis of heavy-tailed stochastic volatility models using scale mixtures of normal distributions. Comput. Stat. Data An. 54(12):2883- 2898.
- Wang, J.J.J., J.S.K. Chan, and S.T.B. Choy. 2011. Stochastic volatility models with leverage and heavytailed distributions: A Bayesian approach using scale mixtures. Comput. Stat. Data An. 55(1):852-862.
- Gorshenin, A. K. 2011. Proverka statisticheskikh gipotez v modeli rasshchepleniya komponenty [Testing of statistical hypotheses in the splitting component model]. Vestnik Moskovskogo Un-ta. Vychislitel'naya Matematika i Kiber- netika [Moscow University Computational Mathematics and Cybernetics] 4:26-32.
- Gorshenin, A. K. 2015. On implementation of EM-type algorithms in the stochastic models for a matrix computing on GPU. AIP Conference Proceedings. 1648:250008
- Korolev, V.Yu., A. K. Gorshenin, S. K. Gulev, and K. P. Belyaev. 2015. Statisticheskoe modelirovanie tur- bulentnykh potokov tepla mezhdu okeanom i atmosferoy
s pomoshch'yu metoda skol'zyashchego razdeleniya konechnykh normal'nykh smesey [Statistical modeling of air-sea turbulent heat fluxes by the method of moving separation of finite normal mixtures]. Informatika i ee Primeneniya - Inform. Appl. 9(4):3-13.
- Gorshenin, A., and V. Kuzmin. 2015. Online system for the construction of structural models of information flows. 7th Congress (International) on Ultra Modern Telecommu-nications and Control Systems and Workshops (ICUMT) Proceedings. Piscataway, NJ: IEEE, 2015. 216-219.
[+] About this article
Title
CONCEPT OF ONLINE SERVICE FOR STOCHASTIC MODELING OF REAL PROCESSES
Journal
Informatics and Applications
2016, Volume 10, Issue 1, pp 72-81
Cover Date
2016-01-30
DOI
10.14357/19922264160107
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
probability mixtures; moving separation of mixtures; data mining; online software; matrix computing
Authors
A. K. Gorshenin ,
Author Affiliations
Institute of Informatics Problems, Federal Research Center “Computer Sciences and Control” of the Russian
Academy of Sciences, 44-2 Vavilov Str.,Moscow 119333, Russian Federation
Moscow Technological University (MIREA), 78 Vernadskogo Ave., Moscow 119454, Russian Federation
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