SMTDA 2016
4th Stochastic Modeling Techniques and Data Analysis International Conference

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:

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

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
Plenary Speakers

Jaromir Antoch
Charles University in Prague, Czech Republic

Talk Title: "Estimation of Fiber System Orientation Local Approach Based on Image Analysis"

Jaromir Antoch earned his Ph.D. degree in statistics from the Charles University of Prague (Czech Republic) in 1982. He spent his entire professional career at the department of probability and mathematical statistics of the faculty of mathematics and physics of the Charles University. Currently he is a full time professor and a head of its statistical group. During the years he spent, among others, several years in France (Universities at Bordeaux, Toulouse and Grenoble) and Italy (Universities at Cagliari, Napoli and Rome).
His research interests include statistical computing, simulations, change point detection, robust and nonparametric statistics, industrial statistics and applications (especially in the industry).
During 1992-1996 he has been a chairman of the Board of Directors of the European Regional Section of the International Association for Statistical Computing (IASC), for the years 2007-2009 he is a President of IASC and a Council Member of the International Statistical Institute. During 2001-2007 he has been President of the Czech Statistical Society.

Narayanaswamy Balakrishnan
Distinguished University Professor of Mathematics & Statistics, McMaster University
Hamilton, Ontario, Canada

Editor-in-Chief: Communications in Statistics and in the editorial board of many journals and scientific committee member of many conferences and ASMDA and SMTDA as well.
Research Profile: Order statistics, distribution theoryMy research interests are in order statistics, outliers, distribution theory, statistical inference, records, multivariate analysis, and industrial statistics. Order statistics arise naturally in many problems such as life-testing and reliability experiments, outlier detection, robust inference, etc. My work in this area covers both theoretical (like bounds, approximations, recurrence relations, characterizations, etc.) as well as applied (like linear inference, acceptance sampling plans, tolerance limits, prediction, etc.) aspects. Another major area of interest to me is statistical distribution theory. Statistical distributions play a fundamental role in many applied problems and form the basis for model building and parametric statistical inference. My contributions to this area have been through proposing new distributions, developing inference techniques for several distributions, and deriving characterizations of distributions. My most recent work concerns order statistics under non-standard conditions. Work in this direction is carried out by using permanents (of some special matrices) and their properties.

Claude Lefèvre
Professeur Département de Mathématique, Probabilités et Modélisation Stochastique
Université Libre de Bruxelles, Belgium
Talk Title: "Appell polynomials, first crossing time and insurance risk models"

Domaines principaux de recherche: Probabilités (temps de premier passage; problèmes de caractérisation; approximations de Poisson; ordres et métriques probabilistes; méthodes analytiques; polynômes remarquables)
Actuariat (théorie du risque; probabilité de ruine; comparaisons de risques; mesures de dépendance entre risques)
Biomathématique (processus de branchement; processus épidémiques; dynamique des populations; vaccination)
Domaines d'enseignement  ◾Probabilités(maîtrises en Mathématique, Actuariat et Statistique)
Statistique (maîtrises en Sciences du Travail)
Biomathématique (maîtrises en Mathématique, Actuariat et Statistique)
Editeur associé pour les revues: Methodology and Computing in Applied Probability
Communications in Statistics - Theory and Methods
Communications in Statistics - Computation and Simulation

Prof. em. Dr. Hans  - J. LENZ
Inst. f. Statistik und Ökonometrie, Inst. f.  Wirtschaftsinformatik
Freie Universität Berlin, Germany

Talk Title: "Knowledge based Tax Fraud Investigation"

Jean-Marie Robine

Research Director, French National Institute of Health and Medical Research
Chair, Department of Biostatistics, University of Montpellier 1, France

Jean-Marie Robine is a Research Director at the French National Institute of Health and Medical Research and head of the Health and Demography team at the Department of Biostatistics, University of Montpellier 1, France. He attempts to measure the impact that the continuation of increases in life expectancy may have on the health status of the population. In particular, he works on the measure of disability and on the evolution of the health status of populations. He also studies human longevity, with the aim of understanding the relations between health and longevity.
 Since its creation in 1989, he has been the coordinator of the International Network on Health Expectancy (REVES), which brings together more than 150 researchers from more than 100 research institutes or universities in over 30 countries worldwide. He is the project leader of the European Health Expectancy Monitoring Unit (EHEMU), supported by the European Union. He is also responsible for the development of the International Database on Longevity (IDL) in association with the main research demographic centres. In the field of the genetic of longevity, he was one of the principal investigators of the European challenge for Healthy Ageing project (ECHA, Fifth European Research Framework, 2001-2004) and he is one of the newly Genetic of Healthy Ageing project (GEHA, Sixth European Research Framework, 2004-2009).
 He is the chair of the Committee on Longevity and Health of the International Union for the Scientific Study of the Population (IUSSP) and co-chair of the Steering Committee of the World Ageing Survey (WAS) prepared by the International Association of Gerontology (IAG).