@article{6afa013ec08d437589eddbedcec7f5f8,
title = "Estimated generalized least squares electromagnetic source analysis based on a parametric noise covariance model",
abstract = "Estimated generalized least squares (EGLS) electromagnetic source analysis is used to downweight noisy and correlated data. Standard EGLS requires many trials to accurately estimate the noise covariances and, thus, the source parameters. Alternatively, the noise covariances can be modeled parametrically. Only the parameters of the model describing the noise covariances need to be estimated and, therefore, less trials are required. This method is referred to as parametric egls (PEGLS). In this paper, PEGLS is developed and its performance is tested in a simulation study and in a pseudoempirical study.",
author = "Waldorp, {L. J.} and Huizenga, {H. M.} and Dolan, {C. V.} and Molenaar, {P. C.M.}",
note = "Funding Information: Manuscript received June 7, 2000; revised February 23, 2001. This work was supported by The Netherlands Organization for Scientific Research (NWO). The work of L. J. Waldorp was supported by the NWO Foundation for Behavioral and Educational Sciences of this organization under Grant 527-25-013 awarded to H. M. Huizenga. The work of H. Huizenga and C. V. Dolan was supported by fellowships from the Royal Netherlands Acadamy of Arts and Sciences. Asterisk indicates corresponding author. *L. J. Waldrop is with the Department of Psychology, University of Amsterdam, Roetersstraat 15, 1018 WB Amsterdam, The Netherlands (e-mail: wal-dorp@psy.uva.nl).",
year = "2001",
doi = "10.1109/10.923793",
language = "English (US)",
volume = "48",
pages = "737--741",
journal = "IRE transactions on medical electronics",
issn = "0018-9294",
publisher = "IEEE Computer Society",
number = "6",
}