Causation, prediction, and search

Keywords

Causation, Computer science, Epistemology, Management science, Psychology

References

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• Statistical issues in the analysis of data from occupational cohort studies.N. E. Breslow — 1990
• Graphoids: a qualitative framework for probabilistic inferenceDan Geiger — 1990
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• Estimation and Inference by Compact CodingChristopher S. Wallace, P. R. Freeman — 1987
• Version Spaces: A Candidate Elimination Approach to Rule LearningTom M. Mitchell — 1977
• Money, Income, and CausalityChristopher A. Sims — 1972
• Equivalence of causal models with latent variablesPeter Spirtes, Thomas Verma — 1992
• Causality From ProbabilityPeter Spirtes, Clark Glymour, Richard Scheines — 1989
• Causal structure among measured variables preserved with unmeasured variablesPeter Spirtes, Clark Glymour — 1990
• Structural Analysis of Multivariate Data: A ReviewHarri Kiiveri, Terence P. Speed — 1982
• Probability Densities with Given MarginalsS. Kullback — 1968
• A Predictive Approach to Model SelectionSeymour Geisser, William F. Eddy — 1979
• Applied Logistic Regression, Second EditionHosmer, David W, Lemeshow, Stanley, Sturdivant, Rodney X — 1989
• On Simpson's Paradox and the Sure-Thing PrincipleColin R. Blyth — 1972
• An Algorithm for Fast Recovery of Sparse Causal GraphsPeter Spirtes, Clark Glymour — 1991
• The discarding of variables in multivariate analysis.E. M. L. Beale, M. G. Kendall, D. W. Mann — 1967
• Latent Variable Path Modeling with Partial Least SquaresJan-Bernd Lohmöller — 1989
• Finding latent variable models in large databasesRichard Scheines, Peter Spirtes — 1992
• General Reconstruction Characteristics of Probabilistic and Possibilistic SystemsGeorge J. Klir, Behzad Parviz — 1986

Cited by

• Cartwright’s Approach to Invariance under InterventionPaweł Kawalec — 2013
• The dimensionality of mixed ancestral graphsPeter Spirtes, Thomas Richardson, Christopher Meek — 1997
• Price Discovery in the Black Pepper Market in Kerala, IndiaAviral Chopra and David A. Bessler — 2005
• Integrated Human Decision Behavior Modeling under an Extended Belief-Desire-Intention FrameworkSeung Ho Lee — 2009
• Building bayesian networks from data: a constraint-based approachNicandro Cruz Ramírez — 2001
• Learning Bayesian Networks with Discrete Variables from DataPeter Spirtes, Christopher Meek — 1995
• Learning Bayesian Networks with Largest Chain GraphsM. Bendou, P. Munteanu — 2016
• The advantage of timely intervention.W. B. Whale, R. E. Brack — 2004
• Causal probabilistic modeling for malignancy grading in pathology with explanations of dependency to the related histological features.David W. Craves — 2007
• Causal learning and inference as a rational process: the new synthesis.Cole Gentry, G. Ivan Maldonado, Kurt A. Terrani — 2011
• The Simpson's paradox unraveled.L. Armentano, A. Bentsáth — 2011
• Discussion: Screening-off and Visibility to SelectionChristopher Hitchcock — 1997
• Simulation and identification of gene regulatory networksAndrea Pinna — 2014
• Causal gene identification using combinatorial V-structure searchAuro Trini Castelli, Ezio Bossi — 2013
• Discovery of Phenotypic Networks from Genotypic Association Studies with Application to ObesityT.R. Ostrom, Paul K. Trojan, Richard Aloysius Flinn — 2015
• Causal discovery from medical textual dataSubramani Mani, Gregory F. Cooper — 2000
• Betting on transitivity in probabilistic causal chainsJosé Manuel Nieves — 2017
• A Proposed Probabilistic Extension of the Halpern and Pearl Definition of ‘Actual Cause’Mads Brandbyge — 2016
• Causal discovery from sequential data in ALS disease based on entropy criteriaGuillaume Tingry — 2019
• Compartmental Model Diagrams as Causal Representations in Relation to DAGsМ. Е. Абраменко — 2017

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