Pinboard (cshalizi) https://pinboard.in/u:cshalizi/public/ recent bookmarks from cshalizi [2106.12121] Bounds on Causal Effects and Application to High Dimensional Data 2021-06-25T15:04:32+00:00 https://arxiv.org/abs/2106.12121 cshalizi to:NB causal_inference partial_identification pearl.judea to_read statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:75956efbde97/ Graphical Models for Processing Missing Data: Journal of the American Statistical Association: Vol 0, No 0 2021-04-12T03:43:38+00:00 https://www.tandfonline.com/doi/full/10.1080/01621459.2021.1874961 cshalizi to:NB missing_data pearl.judea graphical_models https://pinboard.in/ https://pinboard.in/u:cshalizi/b:67193b91bb61/ An Axiomatic Characterization of Causal Counterfactuals | SpringerLink 2020-05-16T17:44:25+00:00 https://link.springer.com/article/10.1023/A:1009602825894 cshalizi to:NB causality graphical_models have_read pearl.judea galles.david https://pinboard.in/ https://pinboard.in/u:cshalizi/b:63ec3efb9a57/ Sufficient Causes: On Oxygen, Matches, and Fires : Journal of Causal Inference 2019-10-01T15:24:49+00:00 https://www.degruyter.com/view/j/jci.ahead-of-print/jci-2019-0026/jci-2019-0026.xml cshalizi to:NB causality pearl.judea https://pinboard.in/ https://pinboard.in/u:cshalizi/b:df58ed10f64f/ On the Interpretation of do(x) : Journal of Causal Inference 2019-05-24T23:53:39+00:00 https://www.degruyter.com/view/j/jci.2019.7.issue-1/jci-2019-2002/jci-2019-2002.xml cshalizi to:NB causality pearl.judea re:ADAfaEPoV to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:74e1b77222a0/ Missing Data as a Causal and Probabilistic Problem 2015-07-15T14:17:14+00:00 http://auai.org/uai2015/proceedings/papers/204.pdf cshalizi statistics graphical_models causal_inference missing_data pearl.judea to_read re:ADAfaEPoV heard_the_talk in_NB shpitser.ilya https://pinboard.in/ https://pinboard.in/u:cshalizi/b:fd4992c8dbca/ Testable Implications of Linear Structural Equation Models 2014-08-01T21:38:34+00:00 http://ftp.cs.ucla.edu/pub/stat_ser/r428.pdf cshalizi to:NB graphical_models statistics pearl.judea https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3682691d4fab/ On the Testability of Models with Missing Data | AISTATS 2014 | JMLR W&CP 2014-04-14T22:14:59+00:00 http://jmlr.org/proceedings/papers/v33/mohan14.html cshalizi to:NB missing_data graphical_models hypothesis_testing statistics pearl.judea https://pinboard.in/ https://pinboard.in/u:cshalizi/b:7b4f4aa5fb74/ Missing Data as a Causal Inference Problem by Karthika Mohan, Judea Pearl, Tian Jin :: SSRN 2014-02-14T03:16:39+00:00 http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2343794 cshalizi pearl.judea inference_to_latent_objects identifiability graphical_models statistics have_read to_teach:undergrad-ADA in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:27bfbf20f3ba/ Cognitive Science - Volume 37, Issue 6 - 2011 Rumelhart Prize Special Issue Honoring Judea Pearl Edited by Steven A. Sloman and Judea Pearl - Wiley Online Library 2013-12-19T14:58:25+00:00 http://onlinelibrary.wiley.com/doi/10.1111/cogs.2013.37.issue-6/issuetoc cshalizito:NB cognitive_science causal_inference causality graphical_models pearl.judea https://pinboard.in/ https://pinboard.in/u:cshalizi/b:378a1b548175/ Causal Analysis in Theory and Practice » “But where does the graph come from?”, A rebuttal kit for causal analysts. 2013-12-17T14:34:29+00:00 http://www.mii.ucla.edu/causality/?p=1054 cshalizi causal_inference graphical_models statistics pearl.judea to_teach:undergrad-ADA https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3a8b4cb507a6/ Linear Models: A Useful “Microscope” for Causal Analysis : Journal of Causal Inference 2013-06-10T19:57:53+00:00 http://www.degruyter.com/view/j/jci.2013.1.issue-1/jci-2013-0003/jci-2013-0003.xml?format=INT cshalizi pearl.judea graphical_models causal_inference regression linear_regression to_teach:undergrad-ADA have_read in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:37563f5bc7f7/ Causal Analysis in Theory and Practice » Judea Pearl on Potential Outcomes 2012-12-04T04:25:03+00:00 http://www.mii.ucla.edu/causality/?p=554 cshalizi causal_inference graphical_models pearl.judea https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b2afb3588845/ [1206.6876] Identification of Conditional Interventional Distributions 2012-07-12T17:57:31+00:00 http://arxiv.org/abs/1206.6876 cshalizi to:NB causal_inference graphical_models statistics pearl.judea to_teach:undergrad-ADA https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c20d7dcb6aa0/ Regression and Causation: A Critical Examination of Econometrics Textbooks 2012-07-11T13:03:58+00:00 http://ftp.cs.ucla.edu/pub/stat_ser/r395.pdf cshalizi causal_inference economics econometrics regression statistics have_skimmed to_teach:undergrad-ADA pearl.judea in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4aa635d00c4f/ External Validity: From do-calculus to Transportability across Populations 2012-05-30T05:36:26+00:00 http://ftp.cs.ucla.edu/pub/stat_ser/r400.pdf cshalizi to:NB to_read causal_inference graphical_models pearl.judea https://pinboard.in/ https://pinboard.in/u:cshalizi/b:faadd68b982d/ [1203.3504] On Measurement Bias in Causal Inference 2012-05-10T14:26:16+00:00 http://arxiv.org/abs/1203.3504 cshalizi causal_inference inference_to_latent_objects pearl.judea to_teach:undergrad-ADA statistics via:arthegall in_NB error-in-variables https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4761849b3244/ "Trygve Haavelmo and the Emergence of Causal Calculus" (Judea Pearl, 2011) 2012-02-11T20:40:51+00:00 http://ftp.cs.ucla.edu/pub/stat_ser/r391.pdf cshalizi to:NB causal_inference economics econometrics haavelmo.trygve pearl.judea graphical_models to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:725731dc9f42/ Causal Analysis in Theory and Practice » Comments on an article by Grice, Shlimgen and Barrett (GSB): “Regarding Causation and Judea Pearl’s Mediation Formula” 2011-10-01T18:22:20+00:00 http://www.mii.ucla.edu/causality/?p=337 cshalizi causality structural_equations causal_inference pearl.judea https://pinboard.in/u:cshalizi/b:e236b39f44e7/ TRIBUTE TO JUDEA PEARL: Heuristics, Probability, and Causality 2010-06-02T03:27:01+00:00 http://bayes.cs.ucla.edu/TRIBUTE/pearl-tribute2010.htm cshalizibooks:noted causality causal_inference graphical_models heuristics artificial_intelligence machine_learning statistics pearl.judea via:judea_pearl in_wishlist https://pinboard.in/u:cshalizi/b:aaa4cf7ae594/ On a Class of Bias-Amplifying Covariates that Endanger Effect Estimates 2009-11-10T01:44:38+00:00 http://ftp.cs.ucla.edu/pub/stat_ser/r356.pdf cshalizi causal_inference regression instrumental_variables pearl.judea https://pinboard.in/u:cshalizi/b:5582397bba07/ Causal Inference in Statistics: An Overview (Pearl, 2009) 2009-09-10T01:56:20+00:00 http://ftp.cs.ucla.edu/pub/stat_ser/r350.pdf cshalizi causality causal_inference statistics pearl.judea blogged have_read https://pinboard.in/u:cshalizi/b:3bd06f843c90/ Greenland S, Pearl J, Robins J. Causal diagrams for epidemiologic research. Epidemiology 1999; 10(1):37–48 2008-12-07T20:16:31+00:00 http://ftp.cs.ucla.edu/pub/stat_ser/r251.pdf cshalizihave_read to_teach:complexity-and-inference causal_inference epidemiology pearl.judea confounding greenland.sander robins.james_m. https://pinboard.in/u:cshalizi/b:9ff3265fac86/ Causal Analysis in Theory and Practice » Remarks on the Method of Propensity Score 2008-12-07T20:12:19+00:00 http://www.mii.ucla.edu/causality/?p=61 cshalizi causal_inference propensity_scores pearl.judea rubin.donald_s. https://pinboard.in/u:cshalizi/b:e8402479631f/ Bayesianism and Causality, or, Why I am only a Half-Bayesian (Judea Pearl) 2008-05-29T20:47:30+00:00 http://ftp.cs.ucla.edu/pub/stat_ser/r284-reprint.pdf cshalizi pearl.judea bayesianism causality statistics foundations_of_statistics via:nielsen https://pinboard.in/u:cshalizi/b:c4f555ff47dd/