Spatiotemporal System Identification With Continuous Spatial Maps and Sparse Estimation
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Sean R. Anderson | Visakan Kadirkamanathan | Parham Aram | V. Kadirkamanathan | S. Anderson | P. Aram | Parham Aram
[1] Visakan Kadirkamanathan,et al. Data-Driven Spatio-Temporal Modeling Using the Integro-Difference Equation , 2009, IEEE Transactions on Signal Processing.
[2] Andreas Daffertshofer,et al. Generative Models of Cortical Oscillations: Neurobiological Implications of the Kuramoto Model , 2010, Front. Hum. Neurosci..
[3] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[4] Noel A Cressie,et al. Statistics for Spatio-Temporal Data , 2011 .
[5] R. Stephenson. A and V , 1962, The British journal of ophthalmology.
[6] Volker Roth,et al. The generalized LASSO , 2004, IEEE Transactions on Neural Networks.
[7] Dongbing Gu,et al. Spatial Gaussian Process Regression With Mobile Sensor Networks , 2012, IEEE Transactions on Neural Networks and Learning Systems.
[8] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[9] Lennart Ljung,et al. Theory and Practice of Recursive Identification , 1983 .
[10] Christopher K. Wikle,et al. Seasonal variation of upper tropospheric and lower stratospheric equatorial waves over the tropical Pacific , 1997 .
[11] Visakan Kadirkamanathan,et al. Spatiotemporal multi-resolution approximation of the Amari type neural field model , 2013, NeuroImage.
[12] Christopher K. Wikle,et al. Hierarchical Bayesian Models for Predicting The Spread of Ecological Processes , 2003 .
[13] Juan P. Torres,et al. The Kuramoto model: A simple paradigm for synchronization phenomena , 2005 .
[14] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.
[15] Aaas News,et al. Book Reviews , 1893, Buffalo Medical and Surgical Journal.
[16] Yoshiki Kuramoto,et al. Chemical Oscillations, Waves, and Turbulence , 1984, Springer Series in Synergetics.
[17] C. Wikle. A kernel-based spectral model for non-Gaussian spatio-temporal processes , 2002 .
[18] Bradley P. Carlin,et al. Hierarchical Spatio-Temporal Mapping of Disease Rates , 1997 .
[19] Visakan Kadirkamanathan,et al. Estimation and Model Selection for an IDE-Based Spatio-Temporal Model , 2009, IEEE Transactions on Signal Processing.
[20] Christopher K. Wikle. A Kernel-Based Spectral Approach for Spatiotemporal Dynamic Models , 2002 .
[21] Tong Zhou,et al. Parameter identification for nonlinear state-space models of a biological network via linearization and robust state estimation , 2013, Proceedings of the 32nd Chinese Control Conference.
[22] D R Freestone,et al. A data-driven framework for neural field modeling , 2011, NeuroImage.
[23] Roger M. Goodall,et al. Estimation of parameters in a linear state space model using a Rao-Blackwellised particle filter , 2004 .
[24] David S. Stoffer,et al. Estimation and Identification of Space-Time ARMAX Models in the Presence of Missing Data , 1986 .
[25] Monika Sharma,et al. Chemical oscillations , 2006 .
[26] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[27] Hagai Attias,et al. An Expectation–Maximization Method for Spatio–Temporal Blind Source Separation Using an AR-MOG Source Model , 2008, IEEE Transactions on Neural Networks.
[28] P. Pfeifer,et al. Independence and sphericity tests for the residuals of space-time arma models , 1980 .
[29] Robert M. Sanner,et al. Gaussian Networks for Direct Adaptive Control , 1991, 1991 American Control Conference.
[30] M. A. Chadwick,et al. An iterative Kalman smoother/least-squares algorithm for the identification of delta-ARX models , 2010, Int. J. Syst. Sci..
[31] Trevor Hastie,et al. Regularization Paths for Generalized Linear Models via Coordinate Descent. , 2010, Journal of statistical software.
[32] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[33] Jonathan R. Stroud,et al. Dynamic models for spatiotemporal data , 2001 .
[34] D. Ruppert. The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2004 .
[35] Ali H. Sayed,et al. Linear Estimation (Information and System Sciences Series) , 2000 .
[36] David Middleton,et al. Sampling and Reconstruction of Wave-Number-Limited Functions in N-Dimensional Euclidean Spaces , 1962, Inf. Control..