Pinboard (MichaelBishop)
https://pinboard.in/u:MichaelBishop/public/
recent bookmarks from MichaelBishopIndirect Effect Ex Machina – The 100% CI2020-12-02T16:01:42+00:00
http://www.the100.ci/2019/10/03/indirect-effect-ex-machina/
MichaelBishopmediation statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:5fac89d3f32b/Felix Schönbrodt's blog2020-09-13T20:02:39+00:00
https://www.nicebread.de/whats-the-probability-that-a-significant-p-value-indicates-a-true-effect/
MichaelBishopstatistical_power power statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:df0dc7b94a15/Aki’s favorite scientific books (so far) « Statistical Modeling, Causal Inference, and Social Science2020-04-28T15:42:35+00:00
https://statmodeling.stat.columbia.edu/2018/05/14/aki_books/
MichaelBishopstatistics textbook listhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:b552d6a3418f/A Breakdown of “Preregistration is Redundant, at Best” | Bayesian Spectacles2019-11-26T19:21:19+00:00
https://www.bayesianspectacles.org/a-breakdown-of-preregistration-is-redundant-at-best/
MichaelBishoppreregistration Wagenmakers statistics philosophy_of_social_science philosophy_of_statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:2166ab9898b2/The Winnower | [17] No-way Interactions2019-11-05T20:35:03+00:00
https://thewinnower.com/papers/17-no-way-interactions
MichaelBishopUri_Simonsohn interactions statistcal_power statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:5e6252e922f1/Quantifying the corroboration of a finding | Peder M. Isager2019-11-05T20:30:47+00:00
https://pedermisager.netlify.com/post/quantifying-the-corroboration-of-a-finding/
MichaelBishopreplication Peder_Isager statistics power metasciencehttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:51d001c0a9d9/Statistical forecasting: notes on regression and time series analysis2018-09-20T16:35:59+00:00
http://people.duke.edu/~rnau/411home.htm
MichaelBishopforecasting statistics course class time_serieshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:e3036277c124/Efficient tuning of online systems using Bayesian optimization – Facebook Research2018-09-17T16:58:51+00:00
https://research.fb.com/efficient-tuning-of-online-systems-using-bayesian-optimization/
MichaelBishopoptimization bayesian facebook statistics machine_learning causal_inferencehttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:3b9a1cd1ab44/Handy statistical lexicon - Statistical Modeling, Causal Inference, and Social Science2018-08-29T19:55:51+00:00
https://andrewgelman.com/2009/05/24/handy_statistic/
MichaelBishopAndrew_Gelman statistics lexicon terminologyhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:6f81dfe38542/Beware the Propensity Score, It's a Collider - Jupyter Notebook Viewer2018-06-29T11:54:03+00:00
https://nbviewer.jupyter.org/github/fmartelg/propensity-score-matching/blob/master/propensity.ipynb
MichaelBishopcausal_inference statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:517023b40e54/Podcasts Archive - Policy Viz2017-05-07T19:00:00+00:00
https://policyviz.com/podcast/
MichaelBishopvisualization statistics policy_analysishttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:ad27f1dcc928/45 questions to test a Data Scientist on Regression | Skill test2016-12-20T12:07:35+00:00
https://www.analyticsvidhya.com/blog/2016/12/45-questions-to-test-a-data-scientist-on-regression-skill-test-regression-solution/
MichaelBishopregression statistics interviewhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:0fdee18c07b4/bayesian - What's the difference between a confidence interval and a credible interval? - Cross Validated2016-09-05T19:51:28+00:00
http://stats.stackexchange.com/questions/2272/whats-the-difference-between-a-confidence-interval-and-a-credible-interval/2287#2287
MichaelBishopbayesian statistics CrossValidatedhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:2e5cd46086be/Bootstrap and cross-validation for evaluating modelling strategies2016-06-11T20:26:28+00:00
http://ellisp.github.io/blog/2016/06/05/bootstrap-cv-strategies/
MichaelBishopFrank_Harrell regression modeling statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:db8ab4b7bd19/“Does Regression Produce Representative Estimates of Causal Effects?,” P. Aronow & C. Samii (2016) | A Fine Theorem2016-02-28T15:33:32+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_starhttps://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 Seroussi2016-02-15T21:37:50+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 statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:7d661b20e2a8/Why I use ggplot2 – Variance Explained2016-02-15T20:38:02+00:00
http://varianceexplained.org/r/why-I-use-ggplot2/
MichaelBishopggplot statistics statistical_graphics data_sciencehttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:713184283302/(2) In layman's terms, how does Gibbs Sampling work? - Quora2016-01-21T03:16:44+00:00
https://www.quora.com/In-laymans-terms-how-does-Gibbs-Sampling-work
MichaelBishopquora_entry gibbs_sampling statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:e7761d16eeb0/How I think about mixture models - Statistical Modeling, Causal Inference, and Social Science2015-11-04T18:27:29+00:00
http://andrewgelman.com/2012/08/15/how-to-think-about-mixture-models/
MichaelBishopAndrew_Gelman Larry_Wasserman mixture_models statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:7d4ed1d4fdad/Explanation in Causal Inference: Methods for Mediation and Interaction: Tyler VanderWeele: 9780199325870: AmazonSmile: Books2015-08-15T19:45:36+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 textbookhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:8971010b2016/The bias-variance decomposition | Hyndsight2015-08-07T18:10:40+00:00
http://robjhyndman.com/hyndsight/bias-variance/
MichaelBishopbias Rob_Hyndman statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:3f68c1789fa8/Whither the "bet on sparsity principle" in a nonsparse world? - Statistical Modeling, Causal Inference, and Social Science Statistical Modeling, Causal Inference, and Social Science2015-07-08T10:45:40+00:00
http://andrewgelman.com/2013/12/16/whither-the-bet-on-sparsity-principle-in-a-nonsparse-world/
MichaelBishopstatistics sparsity lasso Andrew_Gelmanhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:7fd27b95caeb/Correlation or Causation2015-06-09T21:17:28+00:00
http://jfmueller.faculty.noctrl.edu/100/correlation_or_causation.htm
MichaelBishopcorrelation statistics teachinghttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:40be6842863e/[untitled]2015-06-01T14:28:35+00:00
http://vita.had.co.nz/papers/tidy-data.pdf
MichaelBishopdata_cleaning Hadley statistics R_package tidy_datahttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:2e3e81fe5b1d/machine learning - Advantages of AUC vs standard accuracy - Data Science Stack Exchange2015-06-01T14:22:17+00:00
http://datascience.stackexchange.com/questions/806/advantages-of-auc-vs-standard-accuracy
MichaelBishopAUC validation stackexchange_entry statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:a78ff9b93eba/About That Apparent Decline in Violent Conflict… | Dart-Throwing Chimp2015-05-22T18:35:37+00:00
https://dartthrowingchimp.wordpress.com/2015/05/22/about-that-apparent-decline-in-violent-conflict/
MichaelBishopJay_Ulfelder statistics violence Nassim_Nicholas_Talebhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:6e7757375174/What I got wrong (and right) about econometrics and unbiasedness - Statistical Modeling, Causal Inference, and Social Science Statistical Modeling, Causal Inference, and Social Science2015-05-14T20:32:20+00:00
http://andrewgelman.com/2015/05/08/what-i-got-wrong-and-right-about-econometrics-and-unbiasedness/
MichaelBishopunbiasedness regression statistics Andrew_Gelman econometricshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:9288920670b6/Inflated False Positives in fMRI: SPM, FSL and AFNI - Neuroskeptic2015-05-08T15:46:14+00:00
http://blogs.discovermagazine.com/neuroskeptic/2015/05/07/inflated-false-positives-in-fmri-spm-fsl-and-afni/
MichaelBishopNeuroskeptic statistics hypothesis_testinghttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:c0128fc39ba1/Why do we communicate probability calculations so poorly, even when we know how to do it better? - Statistical Modeling, Causal Inference, and Social Science Statistical Modeling, Causal Inference, and Social Science2015-04-15T15:15:01+00:00
http://andrewgelman.com/2015/04/13/why-do-we-communicate-probability-calculations-so-poorly-even-when-we-know-how-to-do-it-better/
MichaelBishopprobability philosophy_of_statistics education statistics Bayesianhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:dad6fdfb7ade/Regression: What's it all about? [Bayesian and otherwise] - Statistical Modeling, Causal Inference, and Social Science Statistical Modeling, Causal Inference, and Social Science2015-04-01T01:30:09+00:00
http://andrewgelman.com/2015/03/29/bayesian-frequentist-regression-methods/
MichaelBishopregression statistics Andrew_Gelman philosophy_of_statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:6cda18e79ee5/Bugbears or Legitimate Threats? (Social) Scientists' Criticisms of Machine Learning - VideoLectures.NET2015-03-10T18:55:59+00:00
http://videolectures.net/kdd2014_mullainathan_machine_learning/
MichaelBishopSendhil_Mullainathan machine_learning philosophy_of_social_science statistics lecture videohttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:804b138c6a84/Statistics Versus Machine Learning « Normal Deviate2015-02-17T20:44:31+00:00
https://normaldeviate.wordpress.com/2012/06/12/statistics-versus-machine-learning-5-2/
MichaelBishopmachine_learning statistics Larry_Wassermanhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:4b2aaf2c564f/Strenge Jacke! proudly presents "sjPlot package for R statistics"2015-02-06T19:39:34+00:00
http://www.strengejacke.de/sjPlot/
MichaelBishopR_package visualization statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:3898613c75c0/What's the point of the margin of error? - Statistical Modeling, Causal Inference, and Social Science Statistical Modeling, Causal Inference, and Social Science2015-01-23T19:08:58+00:00
http://andrewgelman.com/2015/01/23/whats-point-margin-error/
MichaelBishopsurvey_sampling Andrew_Gelman statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:22e52c5e5c87/Interactive visualizations with R - a minireview ← Open Data Science2015-01-21T22:51:41+00:00
http://ouzor.github.io/blog/2014/11/21/interactive-visualizations.html
MichaelBishopstatistical_graphics visualization statistics R_packagehttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:e95a1cac7579/[untitled]2014-11-25T14:24:46+00:00
https://s3.amazonaws.com/assets.datacamp.com/img/blog/data+table+cheat+sheet.pdf
MichaelBishopcheatsheet documentation R_package data.table statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:13df0b503e5d/Compulsory Attendance IVs Reconsidered, Bryan Caplan | EconLog | Library of Economics and Liberty2014-10-24T03:48:48+00:00
http://econlog.econlib.org/archives/2014/10/compulsory_atte.html
MichaelBishopBryan_Caplan instrumental_variables education econometrics statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:9c0e5691c7eb/Prediction intervals too narrow | Hyndsight2014-10-22T20:12:30+00:00
http://robjhyndman.com/hyndsight/narrow-pi/
MichaelBishopRob_Hyndman prediction time_series statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:529f1416b5b5/In-depth introduction to machine learning in 15 hours of expert videos2014-09-25T15:04:34+00:00
http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/
MichaelBishopmachine_learning R statistics lectures videos coursehttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:ad93bd2ff52c/Confirmationist and falsificationist paradigms of science « Statistical Modeling, Causal Inference, and Social Science Statistical Modeling, Causal Inference, and Social Science2014-09-18T13:20:14+00:00
http://andrewgelman.com/2014/09/05/confirmationist-falsificationist-paradigms-science/
MichaelBishopAndrew_Gelman statistics philosophy_of_science Deborah_Mayohttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:f55d96803ded/asdfree by anthony damico: how to provide a variance calculation on your public-use survey data file without disclosing sampling clusters or violating respondent confidentiality2014-09-18T13:19:40+00:00
http://www.asdfree.com/2014/09/how-to-provide-variance-calculation-on.html
MichaelBishopAnthony_Damico R survey_sampling statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:acfb05dea316/madhadron - Bayesian vs frequentist: squabbling among the ignorant2014-09-02T12:38:07+00:00
http://madhadron.com/posts/2014-08-30-frequentist_and_bayesian_statistics.html
MichaelBishopbayesian statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:f74407230fe1/Reading the Gauss-Markov theorem | Win-Vector Blog2014-08-29T11:05:51+00:00
http://www.win-vector.com/blog/2014/08/reading-the-gauss-markov-theorem/
MichaelBishopstatistics Gauss-Markov 7starhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:aff6fde70f4e/#tbt: the dirty secret of analyzing survey data « scatterplot2014-08-15T20:11:09+00:00
http://scatter.wordpress.com/2014/07/03/tbt-the-dirty-secret-of-social-science/
MichaelBishopJeremy_Freese scatterplot statistics methodology opensciencehttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:8f8feec63cf2/Minding the Brain: Plotting mixed-effects model results with effects package2014-08-14T14:53:22+00:00
http://mindingthebrain.blogspot.com/2014/08/plotting-mixed-effects-model-results.html
MichaelBishopggplot_example R_package R statistics statistical_graphicshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:39d29cd03f8b/Clarifying difference between Ratio and Interval Scale of Measurement | MATHEMATICS IN MEDICINE2014-08-08T03:45:15+00:00
http://sumanmathmedicine.blogspot.com/2014/08/clarifying-difference-between-ratio-and.html
MichaelBishopstatistics methodology measurementhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:6c32b01b7493/How Not to Be Misled by the Jobs Report - NYTimes.com2014-07-06T13:48:27+00:00
http://www.nytimes.com/2014/05/02/upshot/how-not-to-be-misled-by-the-jobs-report.html?_r=0
MichaelBishopstatistics error nytimes teachinghttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:ee421b0fedbb/Notes on "Collective Stability in Structured Prediction: Generalization from One Example" (or: Small Pieces, Loosely Joined)2014-07-02T18:09:39+00:00
http://vserver1.cscs.lsa.umich.edu/~crshalizi/weblog/1100.html
MichaelBishopprediction Cosma_Shalizi generalization science statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:9f2acb252cf5/should social scientists allow non-directional hypotheses? any examples? « scatterplot2014-07-01T14:05:29+00:00
https://scatter.wordpress.com/2014/06/25/should-social-scientists-allow-non-directional-hypotheses-any-examples/
MichaelBishophypothesis_testing Jeremy_Freese statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:96bebd4de5ed/ya down with o.t.t.? « scatterplot2014-07-01T14:01:29+00:00
https://scatter.wordpress.com/2014/06/27/ya-down-with-o-t-t/
MichaelBishophypothesis_testing Jeremy_Freese statistics p_valueshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:307f6b02d977/Listwise Deletion: It’s NOT Evil | Statistical Horizons2014-07-01T13:52:24+00:00
http://www.statisticalhorizons.com/listwise-deletion-its-not-evil
MichaelBishopPaul_Allison statistics multiple_imputation imputation 7starhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:16dc982f7934/Lies, damned lies, and Obama’s deportation statistics - The Washington Post2014-06-28T16:18:43+00:00
http://www.washingtonpost.com/blogs/monkey-cage/wp/2014/04/21/lies-damned-lies-and-obamas-deportation-statistics/
MichaelBishopimmigration Obama statistics law deportationhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:a44824257167/Review of Applied Predictive Modeling by Kuhn and Johnson2014-06-27T14:11:44+00:00
http://blog.revolutionanalytics.com/2014/06/review-of-applied-predictive-modeling-by-kuhn-and-johnson.html
MichaelBishopprediction R statistics book_reviewhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:bb28c765f076/now publishers – Balanced versus Randomized Field Experiments in Economics: Why W. S. Gosset aka "Student" Matters2014-06-26T16:51:51+00:00
http://www.nowpublishers.com/articles/review-of-behavioral-economics/RBE-0008
MichaelBishopbalanced field_experiment RCT Stephen_Ziliak statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:c9dfe97ba48f/The Most Comprehensive Review of Comic Books Teaching Statistics - Publishable Stuff2014-06-18T20:57:20+00:00
http://www.sumsar.net/blog/2014/06/statistics-comic-book-review/
MichaelBishopbook_review statistics cartoons humor teachinghttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:bb3604965463/Noahpinion: Three cheers for Sargent & Sims, one and a half for the "Economics Nobel"2014-06-17T18:13:31+00:00
http://noahpinionblog.blogspot.com/2011/10/sargent-and-sims-receive-bank-of.html
MichaelBishopvector_autoregression statistics Noah_Smith econometrics nobel_prizehttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:99e8b2ee95d5/Hyndsight - Varian on big data2014-06-16T13:46:10+00:00
http://robjhyndman.com/hyndsight/varian-2014/
MichaelBishopHal_Varian Rob_Hyndman statistics big_data machine_learninghttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:0cc25ae56856/The illusion of predictability: How regression statistics mislead experts2014-06-13T20:32:08+00:00
http://www.sciencedirect.com/science/article/pii/S0169207012000258
MichaelBishopforecasting regression statistics statistical_graphics predictionhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:f5b82c6b016b/Hyndsight - To explain or predict?2014-06-13T14:45:09+00:00
http://robjhyndman.com/hyndsight/to-explain-or-predict/
MichaelBishopexplanation prediction statistics Rob_Hyndmanhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:9bb5f1478d49/Hyndsight - Why every statistician should know about cross-validation2014-06-13T14:44:40+00:00
http://robjhyndman.com/hyndsight/crossvalidation/
MichaelBishopcross-validation statistics Rob_Hyndmanhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:bc61c848d575/Why we hate stepwise regression « Statistical Modeling, Causal Inference, and Social Science Statistical Modeling, Causal Inference, and Social Science2014-06-02T17:01:40+00:00
http://andrewgelman.com/2014/06/02/hate-stepwise-regression/#comments
MichaelBishopAndrew_Gelman statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:69be38959c6c/Quick History: glm() | (R news & tutorials)2014-05-19T11:35:32+00:00
http://www.r-bloggers.com/quick-history-glm/
MichaelBishopR_package glm statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:457a9bbee560/Forum in Ecology on p-values and model selection « Statistical Modeling, Causal Inference, and Social Science Statistical Modeling, Causal Inference, and Social Science2014-05-19T11:34:20+00:00
http://andrewgelman.com/2014/05/17/forum-ecology-p-values-model-selection/
MichaelBishopp_values hypothesis_testing statistics Andrew_Gelmanhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:c9ef78f33ab1/Felix Schönbrodt's website2014-05-16T20:15:53+00:00
http://www.nicebread.de/a-comment-on-we-cannot-afford-to-study-effect-size-in-the-lab-from-the-datacolada-blog/
MichaelBishopeffect_size statistics confidence_interval Uri_Simonsohnhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:480eb8263491/Crowdstorming a dataset « Statistical Modeling, Causal Inference, and Social Science Statistical Modeling, Causal Inference, and Social Science2014-05-05T15:31:58+00:00
http://andrewgelman.com/2014/04/28/crowdstorming-dataset/
MichaelBishopcrowdsourcing datasets statistics Andrew_Gelmanhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:ce1eb734f8a0/Thinking of doing a list experiment? Here's a list of reasons why you should think again « Statistical Modeling, Causal Inference, and Social Science Statistical Modeling, Causal Inference, and Social Science2014-04-28T14:32:48+00:00
http://andrewgelman.com/2014/04/23/thinking-list-experiment-heres-list-reasons-think/
MichaelBishopexperiment Andrew_Gelman statistics psychologyhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:e43b983e798c/Fooled by randomness « Statistical Modeling, Causal Inference, and Social Science Statistical Modeling, Causal Inference, and Social Science2014-04-28T14:30:59+00:00
http://andrewgelman.com/2014/04/20/fooled-randomness/
MichaelBishopAndrew_Gelman Taleb book_review statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:903dcb8ceaaa/Noam Ross | Vectorization in R: Why?2014-04-17T11:25:48+00:00
http://www.noamross.net/blog/2014/4/16/vectorization-in-r--why.html
MichaelBishopvectorization R statistics programming programming_languagehttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:dbe8707c380a/Understanding Simpson's paradox using a graph « Statistical Modeling, Causal Inference, and Social Science Statistical Modeling, Causal Inference, and Social Science2014-04-10T14:15:13+00:00
http://andrewgelman.com/2014/04/08/understanding-simpsons-paradox-using-graph/
MichaelBishopAndrew_Gelman statistics Simpson's_Paradox causal_inference Judea_Pearlhttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:a1d84e907e72/Interpreting interaction coefficient in R (Part1 lm) | biologyforfun2014-04-10T14:14:44+00:00
http://biologyforfun.wordpress.com/2014/04/08/interpreting-interaction-coefficient-in-r-part1-lm/
MichaelBishopinteraction R statisticshttps://pinboard.in/https://pinboard.in/u:MichaelBishop/b:b341066266a1/