DocumentCode :
2998490
Title :
Use of statistical models for time series analysis
Author :
Akaike, Hirotugu
Author_Institution :
Institute of Statistical Mathematics, Minato-ku, Tokyo, Japan
Volume :
11
fYear :
1986
fDate :
31503
Firstpage :
3147
Lastpage :
3155
Abstract :
The necessity of using statistical models for the development of efficient statistical signal processing procedures is explained with simple examples of the time series analysis. Recent extensions of the use of the concept of the likelihood of a statistical model are reviewd from the point of view of the entropy maximization principle, Particular emphasis is placed on the proper use of Bayesian models.
Keywords :
Bayesian methods; Density functional theory; Entropy; Mathematics; Principal component analysis; Signal analysis; Signal processing; Statistics; Time series analysis; White noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
Type :
conf
DOI :
10.1109/ICASSP.1986.1168599
Filename :
1168599
Link To Document :
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