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2001 - Institute of Information Theory and Automation

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ÊYÊKÊdÊKÊÊYÊKÊdÊKÊKÊdÊKÊÊdÊKÊKÊYÊdÊKÊKÊdÊKÊKÊYÊdÊKÊKÊdÊKÊKÊdÊYÊ 523.9 Customisation <strong>of</strong> the RODOS system for ČR 503.10 Estimation Tasks in Nuclear Medicine 513.11 MIAPS – Design <strong>of</strong> a Computer Module for <strong>Information</strong>Analysis <strong>of</strong> Time Series <strong>of</strong> Autonomous Protein SystemResponsesÊKÊKÊdÊKÊYÊdÊKÊKÊKÊdÊKÊYÊdÊKÊKÊdÊKÊÊdÊKÊKÊYÊdÊKÊKÊdÊKÊKÊYÊdÊKÊKÊdÊKÊKÊdÊYÊ 62ÊdÊKÊÊYÊKÊdÊKÊ 63ÊKÊYÊdÊKÊÊKÊdÊYÊKÊdÊKÊÊKÊYÊdÊKÊÊÊKÊKÊdÊYÊKÊdÊKÊ4 Department <strong>of</strong> Stochastic Informatics 554.1 Bayesian analysis <strong>of</strong> log Gaussian Cox processes fordisease mapping 614.2 Computer module for simulation <strong>of</strong> communication networktraffic4.3 Problems <strong>of</strong> estimating capability indices in SPC 624.4 Filtering, predictive, <strong>and</strong> smoothing Cramér–Rao boundsfor discrete-time nonlinear dynamic systems4.5 Nonparametric statistical information theory 644.6 Parametric statistical information theory 644.7 Prognosis <strong>and</strong> optimization in data networks 654.8 Consistency <strong>of</strong> the least weighted squares estimator 654.9 Research on r<strong>and</strong>om point processes 66ÊÊdÊKÊÊdÊKÊKÊdÊKÊYÊdÊKÊÊKÊYÊdÊKÊÊKÊKÊdÊKÊYÊKÊdÊKÊKÊdÊKÊYÊdÊKÊÊKÊdÊKÊÊKÊdÊKÊKÊdÊYÊKÊdÊKÊÊÊdÊKÊKÊdÊYÊKÊKÊdÊKÊKÊdÊYÊKÊdÊKÊ5 Department <strong>of</strong> Econometrics 675.1 Economic Dynamics <strong>and</strong> Macroeconomic Modelling 745.1.1 Dynamic Models <strong>of</strong> Monetary Economy 745.1.2 Economic Model <strong>of</strong> Cycles 755.2 Cooperation Model <strong>and</strong> Fuzzy Set Approach 755.3 Stochastic Optimization 765.3.1 Stochastic Programming <strong>and</strong> Decision 765.3.2 Comparison <strong>of</strong> Multistage Stochastic Programswith Recourse <strong>and</strong> Stochastic Dynamic Programswith Discrete Time 775.3.3 Variance Penalized Stochastic Optimization 775.4 Theoretical Finance 788

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