Bayesianism and Causality, or, Why I am Only a Half-Bayesian

By Judea Pearl. 2001

92 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/fd6a291fdf14a936874ac57f46969124b44dfdc3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jay Baxter
2. Vikash K. Mansinghka
3. Baxter S. Eaves
4. Patrick Shafto
5. Richard Tibbetts
6. Frank D. Wood
7. Yura N. Perov
8. Jan-Willem van de Meent

In Statistics and Probability

1. Jay Baxter
2. Vikash K. Mansinghka
3. Baxter S. Eaves
4. Patrick Shafto
5. Richard Tibbetts
6. Frank D. Wood
7. Yura N. Perov
8. Hongseok Yang

Citations in the corpus

• BayesDB: A probabilistic programming system for querying the probable implications of data (2015, background): “For example, neither language has explicit support for causal relationships and arbitrary counterfactuals (Pearl, 1988, 2009, 2001).”