SMTDA 2024
  IN-PERSON and VIRTUAL  

8th Stochastic Modeling Techniques and Data Analysis International Conference and Demographics 2024 Workshop

    

Next SMTDA2024, 4 - 7 June 2024, Chania, Crete, Greece                                                                                                                                         www.smtda.net

SMTDA 2024 and
Demographics 2024
Tuesday 4-Friday 7 June 2024
CHANIA-CRETE - GREECE


Venue: Cultural Centre Of Chania

Andrea Papandreou 74, Chania 731 34









After the successful Virtual Conferences SMTDA2020 and ASMDA2021 and Hybrid ASMDA2023 in Heraklion, Crete we proceed in announcing the SMTDA2024 International Conference and Demographics2024 Workshop In-Person and Virtual form to take place in Chania, Crete, Greece.

Following the three-year experience, coping with the Covid-19, we are ready to organize the 2024 event including people who would like to attend a classical scientific event in-person while visiting Chania, Crete in the best time of the year or follow the virtual event.
IN PERSON and VIRTUAL CONFERENCE
Registration and ABSTRACT and PAPER Submissions

 

3rd Stream of Abstract and Paper submissions are welcomed by using this website tools.

Abstract submissions Deadline February 29, 2024.

 Abstracts, Special Sessions or Workshops should be sent to  secretariat@mtda.net

or by the electronic submission system in the next page

The deadline for full papers (after the conference) is July 10, 2024




 


Further information at:
secretariat@smtda.net




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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:

  • 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