SMTDA2018
5th Stochastic Modeling Techniques and Data Analysis International Conference
Tuesday 12 - Friday 15 June 2018
Chania, Crete, Greece
Cultural Centre of Chania
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See below the ASMDA and SMTDA Conferences Proceedings
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Next ASMDA2019
11-14 June 2019
Florence ITALY
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Important Announcement
Selected Papers from SMTDA2018 and Demographics2018 will be included in 2 Special Issues of the Journal Communications
in Statistics - Case Studies, Data Analysis and Applications 1) on Statistical methods and Data Analysis and 2) on Demographics
The submission of papers started: Sent papers to: secretariat@smtda.net
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Conference Venue in Chania |
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Conference Topics
The
Stochastic Modeling Techniques and Data Analysis International
Conference (SMTDA) main objective is to welcome papers, both theoretical
or practical, presenting new techniques and methodologies in the broad
area of stochastic modeling and data analysis. An objective is to use
the methods proposed for solving real life problems by analyzing the
relevant data. Also, the use of recent advances in different fields will
be promoted such as for example, new optimization and statistical
methods, data warehouse, data mining and knowledge systems,
computing-aided decision supports and neural computing. Particular attention
will be given to interesting applications in engineering, productions
and services (maintenance, reliability, planning and control, quality
control, finance, insurance, management and administration, inventory
and logistics, marketing, environment, human resources, biotechnology,
medicine, ...). Methodological approaches Poisson, Markov, semi-Markov processes, Point processes, Martingales, Stochastic calculus, Random evolutions, Decision and Controlled Processes, Diffusion and Poisson approximations, Asymptotic models and Weak Convergences, Statistical inference for Stochastic processes , Hidden Markov and semi-Markov processes, Fitting models for data, Reliability and survival analysis, Bayesian inference, Functional data analysis, Discriminant and Regression Analysis, Mixture model and Probabilistic approach to Clustering, Analysis of complex data (incomplete, censored, missing, spatio-temporal, imprecise, fuzzy,...), Theories of uncertainty, Graphical models and Bayesian networks, Multidimensional Scaling and Multi-way Data Analysis, Sensory Analysis, Classification and Documentation, Data and Text Mining, Chaotic and Stochastic processes, Analysis of Chaotic processes.
Special techniques and algorithms: The Conference includes five types of presentations Key Note Speakers on the main topics of the Symposium selected by the Scientific Program Committee; Contributed papers proposed by authors; Poster presentations; Special Sessions proposed; Workshops proposed
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