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