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[Reverend Bayes on inference engines: A distributed hierarchical approach](http://ftp.cs.ucla.edu/pub/stat_ser/r30.pdf) - 📜[Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach](http://ftp.cs.ucla.edu/pub/stat_ser/r30.pdf)
> The paper that began the probabilistic revolution in AI > The paper that began the probabilistic revolution in AI
> by showing how several desirable properties of reasoning systems > by showing how several desirable properties of reasoning systems
> can be obtained through sound probabilistic inference. > can be obtained through sound probabilistic inference.
@ -7,17 +7,17 @@
> relationships as the key organizing principle for uncertain knowledge, > relationships as the key organizing principle for uncertain knowledge,
> and described an efficient, distributed, exact inference algorithm. > and described an efficient, distributed, exact inference algorithm.
[A theory of inferred causation](http://ftp.cs.ucla.edu/pub/stat_ser/r156-reprint.pdf) - with Thomas S. Verma. 📜[A Theory of Inferred Causation](http://ftp.cs.ucla.edu/pub/stat_ser/r156-reprint.pdf) - with Thomas S. Verma.
> Introduces minimal-model semantics as a basis for causal discovery, > Introduces minimal-model semantics as a basis for causal discovery,
> and shows that causal directionality can be inferred from patterns > and shows that causal directionality can be inferred from patterns
> of correlations without resorting to temporal information. > of correlations without resorting to temporal information.
[Causal diagrams for empirical research](http://ftp.cs.ucla.edu/pub/stat_ser/R218-B-L.pdf) - extended version linked. 📜[Causal Diagrams for Empirical Research](http://ftp.cs.ucla.edu/pub/stat_ser/R218-B-L.pdf) - Extended Version linked.
> Introduces the theory of causal diagrams and its associated do-calculus; > Introduces the theory of causal diagrams and its associated do-calculus;
> the first (and still the only) mathematical method to enable a > the first (and still the only) mathematical method to enable a
> systematic removal of confounding bias in observations. > systematic removal of confounding bias in observations.
[The algorithmization of counterfactuals](http://ftp.cs.ucla.edu/pub/stat_ser/r360.pdf) - 📜[The Algorithmization of Counterfactuals](http://ftp.cs.ucla.edu/pub/stat_ser/r360.pdf)
> Describes a computational model that explains how humans generate, > Describes a computational model that explains how humans generate,
> evaluate and distinguish counterfactual statements so swiftly and > evaluate and distinguish counterfactual statements so swiftly and
> consistently. > consistently.