XIII International Conference

Applied Stochastic Models and Data Analysis

Introduction

Since 1981, the aim of ASMDA has been to serve as an interface between Stochastic Modeling and Data Analysis and their real life applications such as business, finance and insurance, management, production and reliability, biology and medicine. The 2009 Symposium will take place in Vilnius, Lithuania. Both theoretical and practical contributions presenting new results and having the potential for solving real-life problems are concerned. Acting as an interface between theory and practice, ASMDA is of great interest for both the academic and the business world. The high standard of ASMDA meetings is guaranteed by international scientific committees and recently by a permanent world-wide ASMDA Committee.

Scientific Programme

Our main objective is to publish papers, both theoretical or practical, presenting new results having potential for solving real-life problems. Another important objective is to present new methods for solving these 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.

The preceding international ASMDA Symposium were organized in Brussels (1981, 1983, 1985), Belgium, in Nancy (1988), France, in Granada (1991), Spain, in Chania (1993), Greece, in Dublin (1995), Ireland, in Anacapri (1997), Italy, in Lisboa (1999), Portugal, in Compiègne (2001), France, Brest (2005), France and Chania, Crete (2007), Greece.

In general, the proceeding volumes were published by international scientific publishers or local publishers.

The Conference 2009 will focus on new trends in theory, applications and software of Applied Stochastic Models and Data Analysis. ASMDA 2009 will take place in Vilnius, Lithuania.

Particular interest 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 :

• Neural Networks,
• Genetic and Fuzzy Algorithms,
• Support Vector Machine,
• Monte Carlo Methods
• Chaotic Simulation.

The Symposium includes three types of presentations

Key Note Speakers on the main topics of the Symposium selected by the Scientific Program Committee;

Contributed papers proposed by authors;

Specialized streams proposed by participants and aproved by the Scientific Program Committee.

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