Accession Number : ADA191858
Title : Adaptive Time Series Analysis Using Predictive Inference and Entropy.
Descriptive Note : Annual rept. Dec 86-Dec 87,
Corporate Author : SCIENTIFIC SYSTEMS INC CAMBRIDGE MA
Personal Author(s) : Dustafson, Donald E
PDF Url : ADA191858
Report Date : Dec 1987
Pagination or Media Count : 85
Abstract : Research is being conducted on adaptive time series methods for detecting and tracking both abrupt and slow changes in both structure and parameters. The methods are based on a unified statistical frame work which is motivated by statistical inference and entropy arguments. The method yields estimates of input/output dynamics and noise statistics. An integrated approach which combines canonical variates analysis and maximum likelihood estimation has been developed and tested. Specific attention is given to the problem of parameter truncation in both a linear predictor and Kalman filter framework.
Descriptors : *ADAPTIVE SYSTEMS, *MAXIMUM LIKELIHOOD ESTIMATION, *STATISTICS, *TIME SERIES ANALYSIS, ADAPTATION, DYNAMICS, ENTROPY, FRAMES, INPUT OUTPUT PROCESSING, KALMAN FILTERING, LINEAR SYSTEMS, MATHEMATICAL PREDICTION, NOISE, PARAMETERS, TRACKING, TRUNCATION
Subject Categories : Numerical Mathematics
Distribution Statement : APPROVED FOR PUBLIC RELEASE