Project information
Statistical dynamical models and their applications in economics, technicques and natural sciences
- Project Identification
- GD201/05/H007
- Project Period
- 1/2005 - 12/2008
- Investor / Pogramme / Project type
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Czech Science Foundation
- Doctor grants
- MU Faculty or unit
- Faculty of Science
- Keywords
- -
- Cooperating Organization
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Institute of Information Theory and Automation of the ASCR, v. v. i.
- Responsible person Doc. RNDr. Petr Volf, CSc.
- 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: 10
2008
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Classification of input signals based on input-output curves
Year: 2008, type: Conference abstract
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Classification of stimuli based on stimulus-response curves and their variability
Brain Research, year: 2008, volume: Volume 122, edition: srpen 2008
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Statistical approach in search for optimal signal in simple olfactory neuronal models
Mathematical Biosciences, year: 2008, volume: Volume 214, edition: Issues 1-2
2007
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Optimal odor intensity in simple olfactory neuronal models
Year: 2007, type: Appeared in Conference without Proceedings
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Steady-State Properties of Coding of Odor Intensity in Olfactory Sensory Neurons
Advances in Brain, Vision, and Artificial Intelligence, Lecture Notes in Computer Science 4729, year: 2007
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Stimulus-Response Curves in Sensory Neurons: How to Find the Stimulus Measurable with the Highest Precision
Advances in Brain, Vision, and Artificial Intelligence, Lecture Notes in Computer Science 4729, year: 2007
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TIES2007, 18th annual meeting of the International Environmetrics Society
Year: 2007, type: Conference
2006
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Mnohorozměrné zobecněné lineární modely
Year: 2006, number of pages: 142 s.
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Prediction of risk of sepsis based on deviance in MGLM
IWSM 2006, Proceedings of the 21st International Workshop on Statistical Modelling, year: 2006
2005
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Powers of Test in Two-way ANOVA Type Model with General Distribtuion from the Exponential Class
25th European Meeting of Statisticians, 24--28 July 2005, Oslo Norway, Final Programme and Abstracts, year: 2005