Learning Linear Causal Models by MML Sampling

[1]  Vaughn R. McKim,et al.  Causality in crisis? : statistical methods and the search for causal knowledge in the social sciences , 1998 .

[2]  Kevin B. Korb,et al.  In Search of the Philosopher's Stone: Remarks on Humphreys and Freedman's Critique of Causal Discovery , 1997, The British Journal for the Philosophy of Science.

[3]  P. Humphreys,et al.  The Grand Leap1 , 1996, The British Journal for the Philosophy of Science.

[4]  David Maxwell Chickering,et al.  A Transformational Characterization of Equivalent Bayesian Network Structures , 1995, UAI.

[5]  Michael P. Wellman,et al.  Real-world applications of Bayesian networks , 1995, CACM.

[6]  L. Khachiyan,et al.  On the conductance of order Markov chains , 1991 .

[7]  Judea Pearl,et al.  Equivalence and Synthesis of Causal Models , 1990, UAI.

[8]  C. S. Wallace,et al.  Estimation and Inference by Compact Coding , 1987 .

[9]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[10]  N. Metropolis,et al.  Equation of State Calculations by Fast Computing Machines , 1953, Resonance.

[11]  D. Madigan,et al.  Bayesian model averaging and model selection for markov equivalence classes of acyclic digraphs , 1996 .

[12]  Kevin B. Korb,et al.  Causal Discovery via MML , 1996, ICML.

[13]  Richard Scheines,et al.  TETRAD II : tools for causal modeling , 1994 .

[14]  P. Spirtes,et al.  Causation, prediction, and search , 1993 .

[15]  David Lindley,et al.  Bayesian Statistics, a Review , 1987 .

[16]  H. Asher Causal modeling , 1976 .