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Number of items: 21. Horenko, I. and Schütte, Ch. (2010) On metastable conformational analysis of non-equilibrium biomolecular time series. Multiscale Modeling & Simulation, 8 (2). pp. 701-716. ISSN 15403467 Horenko, I. (2010) Finite Element Approach to Clustering of Multidimensional Time Series. J. Sci. Comp., 32 (1). pp. 62-83. Horenko, I. (2010) On Clustering of Non-stationary Meteorological Time Series. Dyn. of Atm. and Oc., 49 (2-3). pp. 164-187. Franzke, Ch. and Horenko, I. and Majda, A. J. and Klein, R. (2009) Systematic Metastable Atmospheric Regime Identification in an AGCM. J. Atm. Sci., 66 (7). pp. 1997-2012. Horenko, I. (2008) Automated Generation of Reduced Stochastic Weather Models I: Simultaneous Dimension and Model Reduction for Time Series Analysis. Multiscale Modeling & Simulation, 6 (4). p. 1125. ISSN 15403467 Horenko, I. (2008) On Simultaneous Data-Based Dimension Reduction and Hidden Phase Identification. J. Atm. Sci, 65 (6). pp. 1941-1954. Horenko, I. and Dolaptchiev, S. and Eliseev, A. and Mokhov, I. and Klein, R. (2008) Metastable Decomposition of High-Dimensional Meteorological Data with Gaps. Journal of the Atmospheric Sciences, 65 (11). pp. 3479-3496. Horenko, I. and Klein, R. and Dolaptchiev, S. and Schütte, Ch. (2008) Automated Generation of Reduced Stochastic Weather Models I: Simultaneous Dimension and Model reduction for Time Series Analysis. Mult. Mod. Sim., 6 (4). pp. 1125-1145. Horenko, I. (2008) On robust estimation of low-frequency variability trends in discrete Markovian sequences of atmospheric circulation patterns. J. Atm. Sci. . (In Press) Horenko, I. and Dittmer, E. and Lankas, F. and Maddocks, J. and Metzner, Ph. and Schütte, Ch. (2008) Macroscopic Dynamics of Complex Metastable Systems: Theory, Algorithms, and Application to B-DNA. J. Appl. Dyn. Syst., 7 (2). pp. 532-560. Horenko, I. and Schütte, Ch. (2008) Dimension Reduction for Time Series with Hidden Phase Transitions and Economic Applications. Adv. Data Anal. Class., submitted . (Submitted) Horenko, I. and Schütte, Ch. (2008) Likelihood-Based Estimation of Multidimensional Langevin Models and its Application to Biomolecular Dynamics. Mult. Mod. Sim., 7 (2). pp. 731-773. Metzner, Ph. and Horenko, I. and Schütte, Ch. (2007) Generator Estimation of Markov Jump Processes Based on Incomplete Observations Nonequidistant in Time. Phys. Rev. E, 76 (06). 066702. Noé, F. and Horenko, I. and Schütte, Ch. and Smith, J. C. (2007) Hierarchical Analysis of Conformational Dynamics in Biomolecules: Transition Networks of Metastable States. J. Chem. Phys., 126 (15). p. 155102. Fischer, A. and Waldhausen, S. and Horenko, I. and Meerbach, E. and Schütte, Ch. (2007) Identification of Biomolecular Conformations from Incomplete Torsion Angle Observations by Hidden Markov Models. J. Comp. Chem., 28 (15). pp. 2453-2464. Horenko, I. and Hartmann, C. and Schütte, Ch. and Noé, F. (2007) Data-based Parameter Estimation of Generalized Multidimensional Langevin Processes. Phys. Rev. E, 76 (01). 016706. Meerbach, E. and Schütte, Ch. and Horenko, I. and Schmidt, B. (2007) Metastable Conformational Structure and Dynamics: Peptides between Gas Phase and Aqueous Solution. In: Analysis and Control of Ultrafast Photoinduced Reactions. Series in Chemical Physics, 87 . Springer, Berlin, pp. 796-806. Horenko, I. and Dittmer, E. and Fischer, A. and Schütte, Ch. (2006) Automated Model Reduction for Complex Systems exhibiting Metastability. Mult. Mod. Sim., 5 (3). pp. 802-827. Horenko, I. and Schmidt-Ehrenberg, J. and Schütte, Ch. (2006) Set-Oriented Dimension Reduction: Localizing Principal Component Analysis via Hidden Markov Models. In: Computational Life Sciences II. Meerbach, E. and Dittmer, E. and Horenko, I. and Schütte, Ch. (2006) Multiscale Modelling in Molecular Dynamics: Biomolecular Conformations as Metastable States. In: Computer Simulations in Condensed Matter: Systems: From Materials to Chemical Biology. Volume I. Weiße, A. Y. and Horenko, I. and Huisinga, W. (2006) Adaptive Approach for Modelling Variability in Pharmacokinetics. In: Computational Life Sciences II. |