Timothy Sauer: Publications

P. Ssentongo, AJB Muwanguzi, U Eden, T Sauer, G Bwanga, G Kateregga. Changes in Ugandan Climate Rainfall at the Village and Forest Level. Scientific Reports 8 (1), 3551 (2018).

T. Berry, T Sauer. Correlation between system and observation errors in data assimilation. Monthly Weather Review 146 (9), 2913-2931 (2018).

F. Hamilton, T. Berry, T. Sauer, Kalman-Takens filtering in the presence of dynamical noise. Eur. Phys. J. Special Topics 226 (15), 3239-3250 (2017).

T. Berry, T. Sauer, Density estimation on manifolds with boundary, Comp. Stat. and Data Analysis 107, 1-17 (2017).

F. Hamilton, T. Berry, T. Sauer, Ensemble Kalman filtering without a model. Phys. Rev. X 6, 011021 (2016).

F. Hamilton, T. Berry, T. Sauer, Predicting chaotic time series with a partial model. Phys. Rev. E 92, 010902 (2015).

F. Hamilton, J. Cressman, N. Peixoto, T. Sauer, Reconstructing neural dynamics using data assimilation with multiple models, Europhys. Lett. 107, 68005 (2014).

T. Berry, T. Sauer, Local kernels and the geometric structure of data. J. Applied and Comp. Harmonic Analysis 40, 439-469 (2016).

A. Whalen, S. Brennan, T. Sauer, S. Schiff, Observability and controllability of nonlinear networks: The role of symmetry, Phys. Rev. X 5, 011005 (2015).

S. Schiff, S. Ranjeva, T. Sauer, B. Warf, Rainfall drives hydrocephalus in East Africa, J. Neurosurg.: Pediatrics 10, 161-167 (2012).

T. Berry, R. Cressman, Z. Greguric Ferencek, T. Sauer, Time-scale separation from diffusion-mapped delay coordinates. SIAM J. Appl. Dyn. Sys. 12, 618-649 (2013).

T. Sauer, Computational solution of stochastic differential equations. Wiley Interdiscip. Rev. Comput. Stat. 5, 362-371 (2013).

F. Hamilton, T. Berry, N. Peixoto, T. Sauer, Real-time tracking of neuronal network structure using data assimilation. Phys. Rev. E 88, 052715 (2013)

T. Berry, F. Hamilton, N. Peixoto, T. Sauer, Detecting connectivity changes in neuronal networks. J. Neurosci. Meth. 209, 388-397 (2012).

T. Berry, T. Sauer, Adaptive ensemble Kalman filtering of nonlinear systems. Tellus A 65, 20331 (2013).

A. Mitra, A. Manitius, T. Sauer, Prediction of single neuron spiking activity using an optimized nonlinear dynamic model. IEEE Eng. Med. Biol. Soc. 2012, 2543-6 (2012).

D. Napoletani, M. Signore, T. Sauer, L. Liotta, E. Petricoin, Homologous control of protein signaling networks. J. Theo. Biol. 279, 29-43 (2011).

T. Sauer, Global convergence of max-type equations. Journal of Difference Equations and Applications 17, 1-8 (2011).

T. Sauer, Convergence of rank-type equations. Applied Mathematics and Computation 217, 4540-7 (2011).

Publications from 2006-2011

[9] T. Sauer, Observing periodically forced systems of difference equations. Journal of Difference Equations and Applications 16, 269-273 (2010).

[8] T. Sauer, Detection of periodic driving in nonautonomous difference equations. Advanced Studies in Pure Mathematics 53, 301-309 (2009).

[7] T. Sauer, S. Schiff, Data assimilation for heterogeneous networks: the consensus set. Phys. Rev. E 79, 051909 (2009).

[6] D. Napoletani, T. Sauer, Reconstructing the topology of sparsely-connected dynamical networks. Phys. Rev. E 77, 026103 (2008).

[5] S. Schiff, T. Sauer, Kalman filter control of a model of spatiotemporal cortical dynamics. J. Neural Eng. 5, 1-8 (2008).

[4] D. Napoletani, T. Sauer, D. Struppa, E. Petricoin, L. Liotta, Augmented sparse representation of protein signaling networks. J. Theo. Biol. 255, 40-52 (2008).

[3] D. Napoletani, D. Struppa, T. Sauer, V. Morozov, N. Vsevelodov, C. Bailey, Functional dissipation microarrays for classification. Pattern Recognition 40, 3393-3400 (2007).

[2] T. Sauer, Attractor reconstruction. Scholarpedia 1(10):1727 (2006).

[1] D. Napoletani, C. Berenstein, T. Sauer, D. Struppa, D. Walnut, Delay coordinate embeddings as a data mining tool for denoising speech signals. Chaos 16, 043116 (2006).


Created in 2011.  Last update: January, 2019.


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