Sparse Causal Discovery in Multivariate Time Series
暂无分享,去创建一个
[1] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[2] Michael I. Jordan,et al. Multiple kernel learning, conic duality, and the SMO algorithm , 2004, ICML.
[3] Yan Liu,et al. Temporal causal modeling with graphical granger methods , 2007, KDD '07.
[4] Gunnar Rätsch,et al. Large Scale Multiple Kernel Learning , 2006, J. Mach. Learn. Res..
[5] K. Strimmer,et al. Statistical Applications in Genetics and Molecular Biology A Shrinkage Approach to Large-Scale Covariance Matrix Estimation and Implications for Functional Genomics , 2011 .
[6] B. Porat,et al. Digital Spectral Analysis with Applications. , 1988 .
[7] P. Bühlmann,et al. The group lasso for logistic regression , 2008 .
[8] T. Hothorn,et al. Simultaneous Inference in General Parametric Models , 2008, Biometrical journal. Biometrische Zeitschrift.
[9] Volker Roth,et al. The Group-Lasso for generalized linear models: uniqueness of solutions and efficient algorithms , 2008, ICML '08.
[10] A. Genz. Numerical Computation of Multivariate Normal Probabilities , 1992 .
[11] K. Müller,et al. Robustly estimating the flow direction of information in complex physical systems. , 2007, Physical review letters.
[12] Lester Melie-García,et al. Estimating brain functional connectivity with sparse multivariate autoregression , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[13] Mathias Drton,et al. A SINful approach to Gaussian graphical model selection , 2005 .
[14] Andreas Ziehe,et al. Combining sparsity and rotational invariance in EEG/MEG source reconstruction , 2008, NeuroImage.
[15] Jos F. Sturm,et al. A Matlab toolbox for optimization over symmetric cones , 1999 .
[16] C. Granger. Investigating causal relations by econometric models and cross-spectral methods , 1969 .
[17] Korbinian Strimmer,et al. Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregressive process , 2007, BMC Bioinformatics.
[18] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .