Albert Bifet: Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams. IOS Press, 2010, ISBN 978-1-60750-090-2, S.20 (google.com).
doi.org
Henrique M. T. Menegaz, Y. Ishihara João, Geovany A. Borges, Alessandro N. Vargas: A Systematization of the Unscented Kalman Filter Theory. In: IEEE Transactions on Automatic Control. 60. Jahrgang, Nr.10, 16. Februar 2015, S.2583–2598, doi:10.1109/TAC.2015.2404511.
Sant, Donald T. „Generalized least squares applied to time varying parameter models.“ Annals of Economic and Social Measurement, Volume 6, number 3. NBER, 1977. 301–314. Online PDF
unc.edu
cs.unc.edu
R. E. Kalman: A New Approach to Linear Filtering and Prediction Problems (= Transaction of the ASME, Journal of Basic Engineering). 1960, S.35–45 (unc.edu [PDF; abgerufen am 24. März 2017]).