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Project information
Statistical dynamical models and their applications in economics, technicques and natural sciences

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Project Identification
GD201/05/H007
Project Period
1/2005 - 12/2008
Investor / Pogramme / Project type
Czech Science Foundation
  • Doctor grants
MU Faculty or unit
Faculty of Science
Keywords
-
Cooperating Organization
Institute of Information Theory and Automation of the ASCR, v. v. i.
  • Responsible person Doc. RNDr. Petr Volf, CSc.
Charles University
  • Responsible person Prof. RNDr. Marie Hušková, DrSc.

Methods for statistical data analysis and probability modeling play an increasingly important role in learning about natural and social phenomena, especially in connection with the availability and spread of information technology. Natural, technical and economical sciences spawn a growing demand for statistical modeling of complex dynamically evolving systems in the presence of randomness or uncertainty and for the utilization of such models for reliable prediction and effective decision making. Amongth ese problems are analyses of medical and epidemiological data, including longitudinal and spacial models, modeling of environmental processes, meteorological data and climate change, economical development trends with an impact of external and internalfa ctors, problems of reliability of complex technical systems. This project is focused on general and special regression models, as they are the most common means of dynamical statistical modeling.

Publications

Total number of publications: 9

2008

2007

2006

2005

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