Pinboard (MichaelBishop) https://pinboard.in/u:MichaelBishop/public/ recent bookmarks from MichaelBishop Prediction market does not imply causation 2022-11-03T16:21:32+00:00 https://dynomight.substack.com/p/prediction-market-causation MichaelBishopprediction_market causal_inference conditional_prediction_markets https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:ad3b123f7595/ Detecting Causal Language Use in Science Findings - ACL Anthology 2021-03-05T18:14:09+00:00 https://www.aclweb.org/anthology/D19-1473/ MichaelBishopcausal_language causal_inference https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:3b3a18e18101/ Why Correlation Usually ≠ Causation: Causal Nets Cause Common Confounding · Gwern.net 2020-09-14T01:48:10+00:00 https://notes.pinboard.in/u:MichaelBishop/b66ce766410945f8276b MichaelBishop gwern causal_inference causality philosophy_of_statistics https://notes.pinboard.in/ https://pinboard.in/u:MichaelBishop/b:887b67ae783c/ Efficient tuning of online systems using Bayesian optimization – Facebook Research 2018-09-17T16:58:51+00:00 https://research.fb.com/efficient-tuning-of-online-systems-using-bayesian-optimization/ MichaelBishopoptimization bayesian facebook statistics machine_learning causal_inference https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:3b9a1cd1ab44/ Causal Inference With pandas.DataFrames – adam kelleher – Medium 2018-07-08T12:24:07+00:00 https://medium.com/@akelleh/causal-inference-with-pandas-dataframes-fc3e64fce5d MichaelBishopcausal_inference pandas python https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:e28652823642/ Beware the Propensity Score, It's a Collider - Jupyter Notebook Viewer 2018-06-29T11:54:03+00:00 https://nbviewer.jupyter.org/github/fmartelg/propensity-score-matching/blob/master/propensity.ipynb MichaelBishopcausal_inference statistics https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:517023b40e54/ “Does Regression Produce Representative Estimates of Causal Effects?,” P. Aronow & C. Samii (2016) | A Fine Theorem 2016-02-28T15:33:32+00:00 https://afinetheorem.wordpress.com/2016/02/26/does-regression-produce-representative-estimates-of-causal-effects-p-aronow-c-samii-2016/ MichaelBishopcausal_inference regression statistics prediction afinetheorem econometrics 8_star https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:45275932a8b9/ Why you should stop worrying about deep learning and deepen your understanding of causality instead | Yanir Seroussi 2016-02-15T21:37:50+00:00 http://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/ MichaelBishopdeep_learning causal_inference data_science statistics https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:7d661b20e2a8/ Explanation in Causal Inference: Methods for Mediation and Interaction: Tyler VanderWeele: 9780199325870: AmazonSmile: Books 2015-08-15T19:45:36+00:00 http://smile.amazon.com/gp/product/0199325871/ref=pd_luc_rh_bxgy_04_04_t_img_lh?ie=UTF8&psc=1 MichaelBishopcausal_inference Tyler_Vanderweele statistics textbook https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:8971010b2016/ If correlation doesn’t imply causation, then what does? | DDI 2014-05-24T18:20:02+00:00 http://www.michaelnielsen.org/ddi/if-correlation-doesnt-imply-causation-then-what-does/#comment-17373 MichaelBishopcausal_inference correlation Michael_Nielsen https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:22c48b570276/ How much can we learn about individual-level causal claims from state-level correlations? « Statistical Modeling, Causal Inference, and Social Science Statistical Modeling, Causal Inference, and Social Science 2014-05-19T11:35:10+00:00 http://andrewgelman.com/2014/05/16/gullibility-effect-using-state-level-correlations-draw-pretty-much-conclusion-want-individual-level-causation/ MichaelBishopcausal_inference instrumental_variables Andrew_Gelman Ian_Ayres sports https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:09ebee626d64/ Understanding Simpson's paradox using a graph « Statistical Modeling, Causal Inference, and Social Science Statistical Modeling, Causal Inference, and Social Science 2014-04-10T14:15:13+00:00 http://andrewgelman.com/2014/04/08/understanding-simpsons-paradox-using-graph/ MichaelBishopAndrew_Gelman statistics Simpson's_Paradox causal_inference Judea_Pearl https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:a1d84e907e72/ "Unifying the Counterfactual and Graphical Approaches to Causality" (Tomorrow at the Statistics Seminar) 2014-03-15T13:27:53+00:00 http://vserver1.cscs.lsa.umich.edu/~crshalizi/weblog/1097.html MichaelBishopgraphical_causal_models causal_inference Cosma_Shalizi https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:00949e62d0a7/ The Roy causal model? « Statistical Modeling, Causal Inference, and Social Science Statistical Modeling, Causal Inference, and Social Science 2013-08-10T15:35:39+00:00 http://andrewgelman.com/2013/07/30/the-roy-causal-model/ MichaelBishoppotential_outcomes James_Heckman Andrew_Gelman causal_inference statistics https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:0119a3d3fb89/ UnderstandingSociety: Current issues in causation research 2013-07-07T16:51:30+00:00 http://understandingsociety.blogspot.com/2011/09/current-issues-in-causation-research.html MichaelBishopDaniel_Little causality causal_inference philosophy https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:376bd62d04ac/ The Dirty Laundry of Instrumental Variables, Bryan Caplan | EconLog | Library of Economics and Liberty 2013-05-23T19:35:58+00:00 http://econlog.econlib.org/archives/2013/05/the_dirty_laund.html MichaelBishopBryan_Caplan statistics causal_inference instrumental_variables https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:ee98fc50f367/ What is “explanation”? 2013-03-04T19:35:41+00:00 http://andrewgelman.com/2013/02/27/what-is-explanation/ MichaelBishopAndrew_Gelman philosophy_of_statistics explanation prediction causal_inference philosophy_of_science https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:88198aa3a374/ Content and Causality in Influence Networks - videolectures.net 2012-11-20T14:38:46+00:00 http://videolectures.net/icwsm2011_aral_influence/ MichaelBishopcausal_inference lectures video social_network sna https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:66109a9ad2e5/ Statistical Models and Causal Inference: A Dialogue with the Social Sciences 2012-08-21T20:24:59+00:00 http://csx.sagepub.com/content/40/1/30.extract MichaelBishopDavid_Freedman causal_inference https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:db569c363dfc/ Why are (almost all) economists unaware of Milton Friedman's thermostat? 2012-07-27T19:20:34+00:00 http://worthwhile.typepad.com/worthwhile_canadian_initi/2012/07/why-are-almost-all-economists-unaware-of-milton-friedmans-thermostat.html MichaelBishopMilton_Friedman thermostat causal_inference Nick_Rowe economics https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:1ffff9a99323/ Examples of the use of hierarchical modeling to generalize to new settings 2012-07-24T22:23:45+00:00 http://andrewgelman.com/2012/07/examples-of-the-use-of-hierarchical-modeling-to-generalize-to-new-settings/ MichaelBishopAndrew_Gelman causal_inference statistics https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:73d5ccf8be4a/ Long discussion about causal inference and the use of hierarchical models to bridge between different inferential settings « Statistical Modeling, Causal Inference, and Social Science 2012-07-17T01:45:26+00:00 http://andrewgelman.com/2012/07/long-discussion-about-causal-inference-and-the-use-of-hierarchical-models-to-bridge-between-different-inferential-settings/ MichaelBishopcausal_inference Andrew_Gelman multilevel statistics 7star https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:c4e304f48557/ The Promising Future of Mathematical Sociology 2012-05-12T00:50:15+00:00 http://permut.wordpress.com/2012/05/11/the-promising-future-of-mathematical-sociology/ MichaelBishopEthan_Fosse sociology causal_inference discipline_of_sociology https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:6117de9bd29f/ CAUSALITY - Discussion (Wilson) 2012-05-02T19:14:32+00:00 http://bayes.cs.ucla.edu/BOOK-2K/jw.html MichaelBishopcausal_inference Judea_Pearl structural_equation_modelling statistics https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:c233a2248cb2/ felix elwert endogenous selection - Google Search 2012-04-26T21:19:44+00:00 https://www.google.com/search?sourceid=chrome&ie=UTF-8&q=felix+elwert+endogenous+selection MichaelBishopFelix_Elwert causal_inference statistics https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:b09f7e959213/ Graphical Causal Models (Advanced Data Analysis from an Elementary Point of View) 2012-04-17T02:25:19+00:00 http://bactra.org/weblog/906.html MichaelBishopcausal_inference graphical_causal_models Cosma_Shalizi statistics https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:a2b1fc896ffd/ Instrumental Variables without Traditional Instruments « DiffusePrioR 2012-04-16T21:23:39+00:00 http://diffuseprior.wordpress.com/2012/04/14/instrumental-variables-without-traditional-instruments/ MichaelBishopinstrumental_variables R causal_inference DiffusePrior https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:c6a0297b26a7/ App Stats: Glynn on "Using Post-Treatment Variables to Establish Upper Bounds on Causal Effects: Assessing Executive Selection Procedures in New Democracies" 2012-04-09T16:16:14+00:00 http://www.iq.harvard.edu/blog/sss/archives/2012/04/app_stats_glynn.shtml MichaelBishopcausal_inference upper-bound statistics https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:e52976590a71/ David Card’s Woytinsky Lecture on “Empirical Micro” « A (Budding) Sociologist's Commonplace Book 2012-04-01T15:10:01+00:00 http://asociologist.com/2012/03/31/david-cards-woytinsky-lecture-on-empirical-micro/ MichaelBishopcausal_inference academia discipline_of_sociology discipline_of_economics David_Card Dan_Hirschman sociology https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:07fdf813e02f/ UnderstandingSociety: Response to Little by John Levi Martin 2012-03-04T18:58:48+00:00 http://understandingsociety.blogspot.com/2012/03/response-to-little-by-john-levi-martin.html MichaelBishopJohn_Levi_Martin causal_inference causality philosophy_of_social_science Daniel_Little https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:6813b2fde3da/ Levi Martin on explanation 2012-02-28T18:42:29+00:00 http://feedproxy.google.com/~r/Understandingsociety/~3/ak4sxwDIdiM/levi-martin-on-explanation.html MichaelBishopDaniel_Little John_Levi_Martin book_review causal_inference philosophy_of_social_science epistemology https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:f00b855f71e1/ [untitled] 2012-02-16T18:17:05+00:00 http://arnoldkling.com/essays/papers/macroeconometrics.pdf MichaelBishopmacroeconomics econometrics causal_inference Arnold_Kling https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:e6a7dea4054b/ Bradford-Hill criteria - Wikipedia, the free encyclopedia 2012-02-16T18:15:07+00:00 http://en.wikipedia.org/wiki/Bradford-Hill_criteria MichaelBishopcausality causal_inference wikipedia_entry https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:da4e038b940e/ Fight! (also a bit of reminiscence at the end) 2012-01-23T16:51:39+00:00 http://andrewgelman.com/2012/01/fight/ MichaelBishopAndrew_Gelman causal_inference causality Judea_Pearl Michael_Sobel https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:1bc7fa88eceb/ Judea Pearl on why he is “only a half-Bayesian” 2012-01-21T19:36:52+00:00 http://andrewgelman.com/2012/01/judea-pearl-on-why-he-is-only-a-half-bayesian/ MichaelBishopJudea_Pearl Pearl bayesian statistics causal_inference causality philosophy_of_statistics https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:cf0cc32ca2f9/ Endogeneity: An inconvenient truth (full version), by John Antonakis - YouTube 2011-12-24T22:31:47+00:00 http://www.youtube.com/watch?v=dLuTjoYmfXs MichaelBishopcausal_inference endogeneity lecture youtube video statistics https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:94a5bea66678/ You say within, I say between…Let’s call the whole thing off! « orgtheory.net 2011-12-17T19:14:07+00:00 http://orgtheory.wordpress.com/2011/12/16/you-say-within-i-say-between-lets-call-the-whole-thing-off/#comments MichaelBishopChristopher_Winship causality Omar causal_inference statistics https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:27e1f3644020/ three ways of talking about the variables that you don’t care about 2011-12-04T04:06:47+00:00 http://orgtheory.wordpress.com/2011/12/03/three-ways-of-talking-about-the-variables-that-you-dont-care-about/ MichaelBishopmethodology philosophy_of_statistics Omar causal_inference orgtheory https://pinboard.in/ https://pinboard.in/u:MichaelBishop/b:b8b8107279bc/ economics.ucr.edu/seminars/spring06/econometrics/HalWhite_Lect_6-2-06.pdf 2011-10-17T14:16:31+00:00 http://economics.ucr.edu/seminars/spring06/econometrics/HalWhite_Lect_6-2-06.pdf MichaelBishopHalbert_White causal_inference statistics econometrics https://pinboard.in/u:MichaelBishop/b:822d6e6d0077/ Economist's View: The Nobel Prize in Economics: A Note on Chris Sims' Contributions 2011-10-12T15:06:52+00:00 http://economistsview.typepad.com/economistsview/2011/10/the-nobel-prize-a-note-on-chris-sims-contributions.html MichaelBishopcausal_inference Christopher_Sims Mark_Thoma Thoma macroeconomics https://pinboard.in/u:MichaelBishop/b:6b52d4fd138d/ Worthwhile Canadian Initiative: The exogeneity-plausibility trade-off 2011-10-09T18:00:57+00:00 http://worthwhile.typepad.com/worthwhile_canadian_initi/2011/08/the-exogeneity-plausibility-trade-off.html MichaelBishopeconomics causal_inference Frances_Wooley https://pinboard.in/u:MichaelBishop/b:1d730bd822d3/ www.stat.cmu.edu/~cshalizi/402/lectures/22-causal-models/lecture-22.pdf 2011-09-24T02:37:35+00:00 http://www.stat.cmu.edu/~cshalizi/402/lectures/22-causal-models/lecture-22.pdf MichaelBishopcausal_inference graphical_models graphical_causal_models Shalizi statistics https://pinboard.in/u:MichaelBishop/b:907e3ae97c07/ www.stat.columbia.edu/~gelman/research/published/yalecausal2.pdf 2011-08-31T14:16:54+00:00 http://www.stat.columbia.edu/~gelman/research/published/yalecausal2.pdf MichaelBishopcausal_inference statistics social_science filetype:pdf Andrew_Gelman .media:document https://pinboard.in/u:MichaelBishop/b:6b6f8c0a0c81/ Causal Reasoning in Science: Don’t Dismiss Correlations 2011-07-12T23:37:10+00:00 http://blog.sethroberts.net/2011/07/07/causal-reasoning-in-science/ MichaelBishopSeth causal_inference correlation https://pinboard.in/u:MichaelBishop/b:6dcc0be9593c/ Review of Manski, Identification for Prediction and Decision 2011-07-12T18:56:23+00:00 http://cscs.umich.edu/~crshalizi/reviews/manski-on-identification/ MichaelBishopCharles_Manski Shalizi book_review econometrics statistics causal_inference https://pinboard.in/u:MichaelBishop/b:5a321ad63f55/ Of the Identification of Parameters 2011-07-12T18:49:58+00:00 http://bactra.org/weblog/775.html MichaelBishopShalizi identification causal_inference statistics https://pinboard.in/u:MichaelBishop/b:7ac644098ff7/ Descriptive statistics, causal inference, and story time 2011-07-11T17:57:35+00:00 http://www.stat.columbia.edu/~cook/movabletype/archives/2011/07/descriptive_sta.html MichaelBishopstatistics Paul_Collier causal_inference story_time Andrew_Gelman https://pinboard.in/u:MichaelBishop/b:788197fa95c2/ Ideas behind their time: formal causal inference? | Ready-to-hand 2011-07-07T18:52:55+00:00 http://www.deaneckles.com/blog/429_ideas-behind-their-time-formal-causal-inference/ MichaelBishop Dean_Eckles causal_inference history_of_thought https://pinboard.in/u:MichaelBishop/b:7b6872dda5d2/ Experimental reasoning in social science 2011-07-05T18:01:34+00:00 http://www.stat.columbia.edu/~cook/movabletype/archives/2011/07/experimental_re.html MichaelBishopexperiment field_experiment causal_inference methodology statistics Andrew_Gelman https://pinboard.in/u:MichaelBishop/b:d970976a834e/ Knights, Muddy Boots, and Contagion; or, Social Influence Gets Medieval 2011-06-29T20:24:42+00:00 http://bactra.org/weblog/773.html MichaelBishopShalizi causal_inference sociology network_analysis sna Christakis https://pinboard.in/u:MichaelBishop/b:52c95eea7592/ CRAN - Package pcalg 2011-06-23T22:25:57+00:00 http://cran.r-project.org/web/packages/pcalg/index.html MichaelBishopcausal_inference software R statistics https://pinboard.in/u:MichaelBishop/b:abe7c70e1e6a/ Tetrad Project Homepage 2011-06-23T22:24:45+00:00 http://www.phil.cmu.edu/projects/tetrad/ MichaelBishopcausal_inference software Shalizi statistics https://pinboard.in/u:MichaelBishop/b:f5a72158ad86/ www.stat.cmu.edu/~cshalizi/402/lectures/23-causal-estimation/lecture-23.pdf 2011-06-23T21:53:49+00:00 http://www.stat.cmu.edu/~cshalizi/402/lectures/23-causal-estimation/lecture-23.pdf MichaelBishopcausality causal_inference Shalizi statistics instrumental_variables https://pinboard.in/u:MichaelBishop/b:81479696bc34/ An IV won't save your life if the line is tangled - Statistical Modeling, Causal Inference, and Social Science 2011-02-03T18:51:43+00:00 http://www.stat.columbia.edu/~cook/movabletype/archives/2011/02/an_iv_wont_save.html MichaelBishopIV statistics econometrics causal_inference instrumental_variables Andrew_Gelman Alex_Tabarrok https://pinboard.in/u:MichaelBishop/b:2092d2104743/ Are IVs Going the Way of the Atlantic Cod? 2011-02-03T03:40:27+00:00 http://feedproxy.google.com/~r/marginalrevolution/hCQh/~3/IM804S1T93k/are-instrumental-variables-going-the-way-of-the-atlantic-cod.html MichaelBishopIV statistics econometrics economics latent_variable causality causal_inference instrumental_variables Alex_Tabarrok https://pinboard.in/u:MichaelBishop/b:30a8cc7f279d/