@inproceedings{af22fed9fafc442eb2e0403a81b264db,
title = "Confidence measure estimation in dynamical systems model input set selection",
abstract = "An information-theoretic input selection method for dynamical system modeling is presented that qualifies the rejection of irrelevant inputs from a candidate input set with an estimate of a measure of confidence given only finite data. To this end, we introduce a method of determining the spatial interval of dependency in the context of the modeling problem for bootstrap mutual information estimates on dependent time-series. Additionally, details are presented for determining an optimal binning interval for histogram-based mutual information estimates.",
author = "Deignan, \{Paul B.\} and King, \{Galen B.\} and Meckl, \{Peter H.\} and Kristofer Jennings",
year = "2004",
doi = "10.23919/ACC.2004.1383894",
language = "English (US)",
isbn = "0780383354",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2824--2829",
booktitle = "Proceedings of the 2004 American Control Conference (AAC)",
note = "2004 American Control Conference, AAC 2004 ; Conference date: 30-06-2004 Through 02-07-2004",
}