Using Bayesian Network Learning Algorithm to Discover Causal Relations in Multivariate Time Series
暂无分享,去创建一个
[1] Sebastian Thrun,et al. Bayesian Network Induction via Local Neighborhoods , 1999, NIPS.
[2] Charles E. Heckler,et al. Applied Multivariate Statistical Analysis , 2005, Technometrics.
[3] Stuart J. Russell,et al. Adaptive Probabilistic Networks with Hidden Variables , 1997, Machine Learning.
[4] R. Fisher. FREQUENCY DISTRIBUTION OF THE VALUES OF THE CORRELATION COEFFIENTS IN SAMPLES FROM AN INDEFINITELY LARGE POPU;ATION , 1915 .
[5] Tom Burr,et al. Causation, Prediction, and Search , 2003, Technometrics.
[6] Gregory F. Cooper,et al. The ALARM Monitoring System: A Case Study with two Probabilistic Inference Techniques for Belief Networks , 1989, AIME.
[7] P. Spirtes,et al. From probability to causality , 1991 .
[8] Norman R. Swanson,et al. Impulse Response Functions Based on a Causal Approach to Residual Orthogonalization in Vector Autoregressions , 1997 .
[9] Constantin F. Aliferis,et al. The max-min hill-climbing Bayesian network structure learning algorithm , 2006, Machine Learning.
[10] Constantin F. Aliferis,et al. Algorithms for Large Scale Markov Blanket Discovery , 2003, FLAIRS.
[11] Richard A. Johnson,et al. Applied Multivariate Statistical Analysis , 1983 .
[12] C. Sims. MACROECONOMICS AND REALITY , 1977 .
[13] WangZhenxing,et al. Learning Causal Relations in Multivariate Time Series Data , 2012 .
[14] Pu Chen,et al. Learning Causal Relations in Multivariate Time Series Data , 2007 .
[15] David A. Bell,et al. Learning Bayesian networks from data: An information-theory based approach , 2002, Artif. Intell..
[16] Jiji Zhang,et al. Adjacency-Faithfulness and Conservative Causal Inference , 2006, UAI.
[17] Allan Leck Jensen,et al. MIDAS: An Influence Diagram for Management of Mildew in Winter Wheat , 1996, UAI.
[18] M. Watson,et al. Are Business Cycles All Alike? , 1984 .
[19] Christopher Meek,et al. Strong completeness and faithfulness in Bayesian networks , 1995, UAI.
[20] P. Spirtes,et al. An Algorithm for Fast Recovery of Sparse Causal Graphs , 1991 .
[21] K. Hoover,et al. Searching for the Causal Structure of a Vector Autoregression , 2003 .
[22] Judea Pearl,et al. A Theory of Inferred Causation , 1991, KR.
[23] Aapo Hyvärinen,et al. A Linear Non-Gaussian Acyclic Model for Causal Discovery , 2006, J. Mach. Learn. Res..
[24] C. Sims. Are forecasting models usable for policy analysis , 1986 .
[25] Aapo Hyvärinen,et al. Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity , 2008, ICML '08.
[26] André Elisseeff,et al. Using Markov Blankets for Causal Structure Learning , 2008, J. Mach. Learn. Res..
[27] Lai-Wan Chan,et al. An efficient causal discovery algorithm for linear models , 2010, KDD.