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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 7, 2010
Deriving dynamical models from paleoclimatic records: application to glacial millennial-scale climate variabilityFrank Kwasniok, Gerrit LohmannPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 4, 2012
Estimation of noise parameters in dynamical system identification with Kalman filtersFrank KwasniokChaos (Woodbury, N.Y.)|April 2, 2018
Detecting, anticipating, and predicting critical transitions in spatially extended systemsFrank KwasniokPlos One|November 9, 2021
Semiparametric maximum likelihood probability density estimationFrank KwasniokPhilosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|February 1, 2012
Data-based stochastic subgrid-scale parametrization: an approach using cluster-weighted modellingFrank KwasniokPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|January 15, 2016
Forecasting critical transitions using data-driven nonstationary dynamical modelingFrank KwasniokPhilosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|April 17, 2013
Analysis and modelling of glacial climate transitions using simple dynamical systemsFrank KwasniokPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 17, 2013
Predicting critical transitions in dynamical systems from time series using nonstationary probability density modelingFrank KwasniokPhilosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|May 21, 2014
Enhanced regime predictability in atmospheric low-order models due to stochastic forcingFrank KwasniokPhysical Review Letters|June 1, 2004
Real-time construction of optimized predictors from data streamsFrank Kwasniok, Leonard A SmithPageof 6