SMTDA 2020

6th Stochastic Modeling Techniques and Data Analysis International Conference and Demographics 2020 Workshop



  Turned into an Online Conference

6th Stochastic Modeling Techniques and Data Analysis International Conference

Tuesday 2 - Friday 5 June 2020
TEST Virtual Connection and Presentation

First TEST

SUTURDAY 30/5/2020   (Software: CISCO Webex Professional)

Event address for attendees:

To appear on Saturday May 30

Date and time:

Saturday, May 30, 2020 11:00 am
Greece Summer Time (Athens, GMT+03:00)


8 hours


SMTDA 2020 Virtual Conference - Test

Event number:

to be announced

Event password:


Check Frequently for the
Conference Program and Updates HERE

Registration and ABSTRACT and PAPER Submissions


Abstract and Paper submissions are welcomed by using this website tools.

Please submit your abstract or special session by:

May 15, 2020 (NEW).

 Abstracts and Special Sessions should be sent to

The deadline for full papers (after the conference) is July 5, 2020

See below the ASMDA and SMTDA Conferences Proceedings



Further information at:



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