Learning the Structure of Linear Latent Variable Models
暂无分享,去创建一个
Richard Scheines | Clark Glymour | Ricardo Bezerra de Andrade e Silva | Peter Spirtes | P. Spirtes | C. Glymour | R. Scheines | Ricardo Silva
[1] T. Wan. Structural Equation Models with Latent Variables , 2002 .
[2] J. Wishart. SAMPLING ERRORS IN THE THEORY OF TWO FACTORS , 1928 .
[3] Clark Glymour,et al. Social Statistics and Genuine Inquiry: Reflections on The Bell Curve , 1997 .
[4] Thomas S. Richardson,et al. A Discovery Algorithm for Directed Cyclic Graphs , 1996, UAI.
[5] Christopher Meek,et al. Quantifier Elimination for Statistical Problems , 1999, UAI.
[6] David Maxwell Chickering,et al. Optimal Structure Identification With Greedy Search , 2002, J. Mach. Learn. Res..
[7] Nir Friedman,et al. Discovering Hidden Variables: A Structure-Based Approach , 2000, NIPS.
[8] Stan Lipovetsky,et al. Latent Variable Models and Factor Analysis , 2001, Technometrics.
[9] Hagai Attias,et al. Independent Factor Analysis , 1999, Neural Computation.
[10] Glenn Shafer,et al. A Generalization of the Tetrad Representation Theorem , 2002 .
[11] Richard Scheines,et al. Generalized measurement models , 2005 .
[12] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[13] Tom Burr,et al. Causation, Prediction, and Search , 2003, Technometrics.
[14] Richard Scheines,et al. Learning Measurement Models for Unobserved Variables , 2002, UAI.
[15] Nevin Lianwen Zhang,et al. Hierarchical latent class models for cluster analysis , 2002, J. Mach. Learn. Res..
[16] C. Glymour. The Mind's Arrows: Bayes Nets and Graphical Causal Models in Psychology , 2000 .
[17] Fiona Steele,et al. The Analysis and Interpretation of Multivariate Data for Social Scientists , 2002 .
[18] Akira Harada,et al. Stepwise variable selection in factor analysis , 2000 .
[19] G. Bradski. Graphical Models: Foundations of Neural Computation , 2003 .
[20] D. Oppenheim. Learning from Measurement , 2001 .
[21] R. Scheines,et al. Automatic discovery of latent variable models , 2005 .
[22] C Loehlin John,et al. Latent variable models: an introduction to factor, path, and structural analysis , 1986 .
[23] Kenneth A. Bollen,et al. Outlier Screening and a Distribution-Free Test for Vanishing Tetrads , 1990 .
[24] J. Pearl. Causality: Models, Reasoning and Inference , 2000 .
[25] Michael I. Jordan,et al. Beyond Independent Components: Trees and Clusters , 2003, J. Mach. Learn. Res..
[26] Nir Friedman,et al. The Bayesian Structural EM Algorithm , 1998, UAI.
[27] A. Satorra. Structural Equation Models with Latent Variables , 2002 .
[28] C. Meek,et al. Graphical models: selecting causal and statistical models , 1997 .
[29] Richard Scheines,et al. New d-separation identification results for learning continuous latent variable models , 2005, ICML.
[30] Richard Scheines,et al. Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling , 1987 .