Abstract
A newly developed algorithm for evaluating the Log Likelihood Gradient (score) of linear discrete-time dynamic systems is presented, based on the extended Square-Root Information Filter (eSRIF). The new result can be used for efficient calculations in gradient-search algorithms for maximum likelihood estimation of the unknown system parameters. The theoretical results are given with the examples showing the superior perfomance of this computational approach over the conventional one. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Kulikova, M. V., & Semoushin, I. V. (2006). Score evaluation within the extended square-root information filter. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3991 LNCS-I, pp. 473–481). Springer Verlag. https://doi.org/10.1007/11758501_65
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