Stochastic Processes II - NSTP239
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Stationary processes. Continuity, differentiation and integration. Spectral representation.
Linear process. Ergodicity, central limit theorems. Prediction and filtration. ARMA models and their statistical analysis.
Last update: T_KPMS (19.03.2008)
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Students gain basic knowledge of the theory of stationary processes in both time and spectral domain. The aim is also to acquaint students with basic statistical properties of time series. Last update: T_KPMS (20.05.2008)
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Anděl J.: Statistická analýza časových řad. SNTL, Praha 1976
Brockwell P.J., Davis R.A.: Time series: Theory and Methods, Springer-Verlag, New York, 1987
Prášková, Z.: Základy náhodných procesů II. Karolinum, 2004.
Last update: T_KPMS (19.03.2008)
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Lecture. Last update: G_M (28.05.2008)
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Stationary processes.
Continuity, differentiation and integration.
Spectral representation.
Linear process. Ergodicity, central limit theorems.
Prediction and filtration.
ARMA models and their statistical analysis. Last update: T_KPMS (19.03.2008)
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