Pinboard (cshalizi) https://pinboard.in/u:cshalizi/public/ recent bookmarks from cshalizi None of the Above | Elements of Evolutionary Anthropology 2025-03-23T17:17:45+00:00 https://elevanth.org/blog/2023/07/17/none-of-the-above/ cshalizi200 students/year...]]> statistics data_analysis have_read mcelreath.richard closing_old_tabs re:phil-of-bayes_paper to_teach:undergrad-ADA https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1079612a0b01/ Specification Curve: Descriptive and Inferential Statistics on All Reasonable Specifications by Uri Simonsohn, Joseph P. Simmons, Leif D. Nelson :: SSRN 2024-12-09T21:26:14+00:00 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2694998 cshalizi to:NB data_analysis statistics model_checking color_me_skeptical more_exactly_the_impulse_is_sound_but_i_doubt_they_can_really_do_it https://pinboard.in/ https://pinboard.in/u:cshalizi/b:888da2dd46e4/ Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty | PNAS 2022-11-19T20:36:42+00:00 https://www.pnas.org/doi/10.1073/pnas.2203150119 cshalizi to:NB to_read data_analysis statistics social_science_methodology https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1d84ac94f53f/ Big Data for Twenty-First-Century Economic Statistics, Abraham, Jarmin, Moyer 2022-05-11T17:12:03+00:00 https://press.uchicago.edu/ucp/books/book/chicago/B/bo136254067 cshalizi to:NB data_analysis econometrics computational_statistics social_measurement books:noted books:suggest_to_library https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e7a4adbeaf79/ [2203.06498] The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning 2022-03-31T23:35:44+00:00 https://arxiv.org/abs/2203.06498 cshalizidata_analysis bad_data_analysis psychology data_mining gelman.andrew to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:6c960a97eea4/ Between the Spreadsheets: Classifying and Fixing Dirty Data 2021-12-30T06:00:28+00:00 https://www.cambridge.org/core/books/between-the-spreadsheets/E595C14F50034C30ECDCC6B835710EA8#fndtn-information cshalizi to:NB books:noted data_analysis data_cleaning color_me_skeptical https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f4b6b56f8578/ [2105.03082] Comment on "Reproducibility and Replication of Experimental Particle Physics Results" 2021-05-13T15:04:21+00:00 https://arxiv.org/abs/2105.03082 cshalizi to:NB particle_physics statistics data_analysis science_as_a_social_process https://pinboard.in/ https://pinboard.in/u:cshalizi/b:204285fadb51/ [2009.06864] Reproducibility and Replication of Experimental Particle Physics Results 2021-05-13T15:03:51+00:00 https://arxiv.org/abs/2009.06864 cshalizi to:NB statistics particle_physics science_as_a_social_process data_analysis https://pinboard.in/ https://pinboard.in/u:cshalizi/b:d93e3a092c34/ [2105.03122] From Graph Centrality to Data Depth 2021-05-10T22:51:17+00:00 https://arxiv.org/abs/2105.03122 cshalizi to:NB graph_theory data_analysis statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ed8fb8095e49/ [1301.1034] How many of the digits in a mean of 12.3456789012 are worth reporting? 2021-05-10T15:20:08+00:00 https://arxiv.org/abs/1301.1034 cshalizi to:NB data_analysis https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f67835a31c6f/ [2104.04628] Modeling Time-Varying Random Objects and Dynamic Networks 2021-04-13T04:00:44+00:00 https://arxiv.org/abs/2104.04628 cshalizi to:NB functional_data_analysis time_series network_data_analysis networks_in_and_over_time statistics data_analysis statistics_on_manifolds https://pinboard.in/ https://pinboard.in/u:cshalizi/b:720c11a53ffa/ How Well Do Automated Linking Methods Perform? Lessons from US Historical Data - American Economic Association 2020-12-11T01:56:44+00:00 https://www.aeaweb.org/articles?id=10.1257/jel.20191526 cshalizi to:NB record_linkage entity_resolution relational_learning data_analysis social_science_methodology social_measurement https://pinboard.in/ https://pinboard.in/u:cshalizi/b:0cfb0e0e0937/ Computational Social Science and Sociology | Annual Review of Sociology 2020-11-19T22:13:26+00:00 https://www.annualreviews.org/doi/abs/10.1146/annurev-soc-121919-054621 cshalizi to:NB sociology data_mining data_analysis network_data_analysis bail.christopher https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2d69b6950b0e/ How Much Does Your Data Exploration Overfit? Controlling Bias via Information Usage - IEEE Journals & Magazine 2020-11-16T16:05:49+00:00 https://ieeexplore.ieee.org/document/8861141 cshalizi to:NB to_read data_analysis data_mining model_selection statistics post-model-selection_inference to_teach:linear_models to_teach:undergrad-ADA to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3ef24ab591ab/ Numerical Instabilities in Analytical Pipelines Lead to Large and Meaningful Variability in Brain Networks | bioRxiv 2020-10-22T12:43:39+00:00 https://www.biorxiv.org/content/10.1101/2020.10.15.341495v1 cshalizi to:NB scientific_computing data_analysis functional_connectivity neuroscience statistics network_data_analysis https://pinboard.in/ https://pinboard.in/u:cshalizi/b:766c125979dc/ [2002.10992] Migration Networks: Applications of Network Analysis to Macroscale Migration Patterns 2020-07-27T18:41:29+00:00 https://arxiv.org/abs/2002.10992 cshalizi to:NB migration demography network_data_analysis social_networks spatial_statistics statistics data_analysis porter.mason_a. to_teach:baby-nets https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ceccf1807439/ Humanities Data Analysis | Princeton University Press 2020-07-07T16:10:21+00:00 https://press.princeton.edu/books/hardcover/9780691172361/humanities-data-analysis cshalizi to:NB books:noted data_analysis statistics riddell.allen digital_humanities books:suggest_to_library https://pinboard.in/ https://pinboard.in/u:cshalizi/b:bc8bd901ac59/ [2002.09770] Allotaxonometry and rank-turbulence divergence: A universal instrument for comparing complex systems 2020-04-30T15:28:13+00:00 https://arxiv.org/abs/2002.09770 cshalizi to:NB data_analysis comparison_of_distributions descriptive_statistics heavy_tails dodds.peter_sheridan via:rvenkat color_me_skeptical https://pinboard.in/ https://pinboard.in/u:cshalizi/b:990d61c2bca3/ Dark Data | Princeton University Press 2020-03-12T14:57:50+00:00 https://press.princeton.edu/books/hardcover/9780691182377/dark-data cshalizi to:NB books:noted data_analysis statistics missing_data hand.david_j. popular_social_science books:suggest_to_library https://pinboard.in/ https://pinboard.in/u:cshalizi/b:915c87a48e3c/ Rev. Mod. Phys. 91, 045002 (2019) - Machine learning and the physical sciences 2020-01-12T22:59:26+00:00 https://journals.aps.org/rmp/abstract/10.1103/RevModPhys.91.045002 cshalizi to:NB machine_learning data_mining physics data_analysis equations_of_motion_from_a_time_series https://pinboard.in/ https://pinboard.in/u:cshalizi/b:344ce2216288/ [1910.08707] Introduction to Coresets: Accurate Coresets 2019-10-22T13:32:56+00:00 https://arxiv.org/abs/1910.08707 cshalizi to:NB optimization computational_statistics statistics data_analysis https://pinboard.in/ https://pinboard.in/u:cshalizi/b:5f863cd94cc3/ [1907.09864] Doubts on the efficacy of outliers correction methods 2019-10-02T15:49:58+00:00 https://arxiv.org/abs/1907.09864 cshalizi to:NB outliers anomaly_detection statistics data_analysis https://pinboard.in/ https://pinboard.in/u:cshalizi/b:adaa4665799a/ Confabulation in the humanities - Matthew Lincoln, PhD 2019-08-15T19:51:55+00:00 http://matthewlincoln.net/2015/03/21/confabulation-in-the-humanities.html cshalizi data_analysis humanities everything_is_obvious_once_you_know_the_answer to_teach via:? have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:19823c3df5de/ [1908.01014] A Survey on Compressive Sensing: Classical Results and Recent Advancements 2019-08-06T14:53:11+00:00 https://arxiv.org/abs/1908.01014 cshalizi to:NB compressed_sensing optimization data_analysis https://pinboard.in/ https://pinboard.in/u:cshalizi/b:6316decf1639/ [1904.02101] The Landscape of R Packages for Automated Exploratory Data Analysis 2019-08-01T13:44:55+00:00 https://arxiv.org/abs/1904.02101 cshalizi to:NB R exploratory_data_analysis data_analysis statistics to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:704bfbb81807/ Analysis of a complex of statistical variables into principal components. 2018-09-08T18:52:35+00:00 http://dx.doi.org/10.1037/h0071325 cshalizi to:NB have_read principal_components data_analysis hotelling.harold re:ADAfaEPoV https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2e89a74cb6f8/ On lines and planes of closest fit to systems of points in space (K. Pearson, 1901) 2018-09-08T18:49:55+00:00 https://www.tandfonline.com/doi/abs/10.1080/14786440109462720 cshalizi to:NB principal_components data_analysis pearson.karl re:ADAfaEPoV have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:79b5a2fdcf75/ Sporadic sampling, not climatic forcing, drives observed early hominin diversity | PNAS 2018-05-09T15:03:33+00:00 http://www.pnas.org/content/115/19/4891 cshalizi to:NB human_evolution paleontology data_analysis https://pinboard.in/ https://pinboard.in/u:cshalizi/b:830db5a83687/ From global scaling to the dynamics of individual cities | PNAS 2018-05-08T13:22:04+00:00 http://www.pnas.org/content/115/10/2317 cshalizi to:NB cities data_analysis re:urban_scaling_what_urban_scaling https://pinboard.in/ https://pinboard.in/u:cshalizi/b:41c2b412804d/ [1802.03426] UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction 2018-03-11T18:56:42+00:00 https://arxiv.org/abs/1802.03426 cshalizi to:NB via:vaguery manifold_learning dimension_reduction data_analysis data_mining to_teach:data-mining re:ADAfaEPoV https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b2108ad9d881/ Muller, J.Z.: The Tyranny of Metrics | Princeton University Press 2018-02-26T01:44:24+00:00 https://press.princeton.edu/titles/11218.html cshalizi in_NB social_measurement books:noted management statistics data_analysis muller.jerry books:owned https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b1e73f6061a8/ Exploring the ChestXray14 dataset: problems – Luke Oakden-Rayner 2018-01-30T17:25:50+00:00 https://lukeoakdenrayner.wordpress.com/2017/12/18/the-chestxray14-dataset-problems/ cshalizihave_read data_analysis data_sets medicine classifiers statistics via:tslumley spatial_statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:63604ef7bed5/ When the Revolution Came for Amy Cuddy - The New York Times 2018-01-30T17:09:54+00:00 https://www.nytimes.com/2017/10/18/magazine/when-the-revolution-came-for-amy-cuddy.html cshalizi have_read social_science_methodology social_psychology psychology replication_crisis gelman.andrew popular_social_science data_analysis to_teach:undergrad-research https://pinboard.in/ https://pinboard.in/u:cshalizi/b:65a7d3a063da/ Federal Statistics, Multiple Data Sources, and Privacy Protection: Next Steps | The National Academies Press 2018-01-06T02:18:53+00:00 https://www.nap.edu/catalog/24893/federal-statistics-multiple-data-sources-and-privacy-protection-next-steps?mc_cid=a967e2da8c&mc_eid=1fdc781427 cshalizi to:NB books:noted to_read data_analysis data_collection social_measurement statistics record_linkage privacy https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c351379d5f39/ Artificial Unintelligence: How Computers Misunderstand the World | The MIT Press 2017-12-17T18:03:20+00:00 https://mitpress.mit.edu/books/artificial-unintelligence cshalizi books:noted machine_learning artificial_intelligence computers data_analysis to_teach:data-mining from_library in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:01d8a9f74ae2/ Poincaré Embeddings for Learning Hierarchical Representations 2017-11-24T18:34:20+00:00 http://papers.nips.cc/paper/7213-poincare-embeddings-for-learning-hierarchical-representations cshalizi to:NB hyperbolic_geometry dimension_reduction hierarchical_structure statistics data_analysis https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c2b04267ee36/ High-Dimensional Data Analysis: The Curses and Blessings of Dimensionality (Donoho) 2017-08-08T21:10:10+00:00 http://statweb.stanford.edu/~donoho/Lectures/AMS2000/Curses.pdf cshalizi to:NB to_read data_analysis statistics mathematics high-dimensional_statistics high-dimensional_probability donoho.david https://pinboard.in/ https://pinboard.in/u:cshalizi/b:be07d6c1000e/ Principles of Data Management and Presentation - John P. Hoffmann - Paperback - University of California Press 2017-08-08T16:42:33+00:00 http://www.ucpress.edu/book.php?isbn=9780520289949&mc_cid=3d6dd98934&mc_eid=3d88be13af cshalizi to:NB books:noted data_analysis to_teach https://pinboard.in/ https://pinboard.in/u:cshalizi/b:663fbd009f26/ Evidence, Becker 2017-08-03T15:33:31+00:00 http://press.uchicago.edu/ucp/books/book/chicago/E/bo26176063 cshalizi social_science_methodology data_analysis methodological_advice data_cleaning to_teach:undergrad-research in_library in_NB books:recommended books:reviewed https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1b08eb48caae/ Network Analysis Literacy - A Practical Approach to the | Katharina A. Zweig | Springer 2016-11-02T14:20:16+00:00 http://www.springer.com/us/book/9783709107409 cshalizi to:NB books:noted network_data_analysis statistics social_networks data_analysis to_teach:baby-nets in_library https://pinboard.in/ https://pinboard.in/u:cshalizi/b:14ed434c6586/ Refining the Concept of Scientific Interface When Working with Big Data: Proceedings of a Workshop—in Brief | The National Academies Press 2016-09-01T14:49:55+00:00 http://www.nap.edu/catalog/23616/refining-the-concept-of-scientific-interface-when-working-with-big-data cshalizistatistics computational_statistics data_mining data_analysis philosophy_of_science kith_and_kin self-promotion https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8ecab3d28e46/ Mastering Feature Engineering - O'Reilly Media 2016-06-24T19:19:31+00:00 http://shop.oreilly.com/product/0636920049081.do cshalizi to:NB books:noted data_mining statistics data_analysis to_teach:data-mining kith_and_kin zheng.alice https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9ef2370887f9/ Quartz/bad-data-guide: An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them. 2016-05-02T20:03:53+00:00 https://github.com/Quartz/bad-data-guide cshalizi data_analysis to_teach:undergrad-ADA to_teach:undergrad-research have_read via:? https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a215b6fbe9ee/ Data Journalism Done Wrong | Jacobin 2014-11-10T01:54:35+00:00 https://www.jacobinmag.com/2014/10/data-journalism-done-wrong/ cshalizi why_oh_why_cant_we_have_a_better_press_corps evisceration data_analysis economics minimum_wage https://pinboard.in/ https://pinboard.in/u:cshalizi/b:47de1c06aa02/ Beautiful Data: A History of Vision and Reason Since 1945 (Experimental Futures) by Orit Halpern - Powell's Books 2014-10-30T00:28:32+00:00 http://www.powells.com/biblio/62-9780822357445-1 cshalizi books:noted visual_display_of_quantitative_information data_analysis history_of_ideas in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:57f638cc0e1c/ How big data is unfair — Medium 2014-10-10T19:21:02+00:00 https://medium.com/@mrtz/how-big-data-is-unfair-9aa544d739de cshalizidata_mining data_analysis evidence_based public_policy discrimination to:blog to_teach:data-mining algorithmic_fairness to_teach:statistics_of_inequality_and_discrimination https://pinboard.in/ https://pinboard.in/u:cshalizi/b:d7b446455683/ Data Colada | [20] We cannot afford to study effect size in the lab 2014-09-18T01:05:32+00:00 http://datacolada.org/2014/05/01/20-we-cannot-afford-to-study-effect-size-in-the-lab/ cshalizistatistics data_analysis psychology experimental_psychology estimation to_teach https://pinboard.in/ https://pinboard.in/u:cshalizi/b:422078f0deba/ Felix Schönbrodt's website 2014-09-18T01:05:19+00:00 http://www.nicebread.de/a-comment-on-we-cannot-afford-to-study-effect-size-in-the-lab-from-the-datacolada-blog/ cshalizistatistics data_analysis psychology experimental_psychology estimation to_teach https://pinboard.in/ https://pinboard.in/u:cshalizi/b:7272d0a3931b/ Alberto Cairo: Data journalism needs to up its own standards » Nieman Journalism Lab 2014-09-13T03:17:30+00:00 http://www.niemanlab.org/2014/07/alberto-cairo-data-journalism-needs-to-up-its-own-standards cshalizihave_read why_oh_why_cant_we_have_a_better_press_corps journalism data_analysis https://pinboard.in/ https://pinboard.in/u:cshalizi/b:47079008d302/ What is big data good for? Incremental change, not big paradigm shifts. 2014-08-08T01:54:11+00:00 http://www.slate.com/articles/technology/bitwise/2014/08/what_is_big_data_good_for_incremental_change_not_big_paradigm_shifts.html?wpsrc=sh_all_dt_tw_top cshalizidata_mining data_analysis auerbach.david to_teach:data-mining have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c8dd922d78de/ Facebook, OkCupid user experiments: Ethics aside, they show us the limitations of big data. 2014-08-01T03:14:10+00:00 http://www.slate.com/articles/technology/bitwise/2014/07/facebook_okcupid_user_experiments_ethics_aside_they_show_us_the_limitations.html?wpsrc=sh_all_dt_tw_top cshalizidata_mining data_analysis computational_statistics debunking auerbach.david to:blog https://pinboard.in/ https://pinboard.in/u:cshalizi/b:257f8780b3bd/ Multivariate statistics and the enactment of metabolic complexity 2014-07-29T14:59:49+00:00 http://sss.sagepub.com/content/44/4/555.abstract?etoc cshalizi to:NB to_read ethnography science_as_a_social_process biochemical_networks biology statistics complexity data_analysis https://pinboard.in/ https://pinboard.in/u:cshalizi/b:944c59a7a680/ How Not to Be Misled by the Jobs Report - NYTimes.com 2014-07-12T01:50:05+00:00 http://www.nytimes.com/2014/05/02/upshot/how-not-to-be-misled-by-the-jobs-report.html cshalizi statistics data_analysis via:civilstat to_teach why_oh_why_cant_we_have_a_better_press_corps to:blog https://pinboard.in/ https://pinboard.in/u:cshalizi/b:51b39a535303/ [1406.0873] Unifying linear dimensionality reduction 2014-07-12T00:26:03+00:00 http://arxiv.org/abs/1406.0873 cshalizi data_analysis principal_components factor_analysis optimization statistics dimension_reduction ghahramani.zoubin in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:6bae21f8af20/ Text Analysis with R for Students of Literature 2014-07-08T14:10:00+00:00 http://www.springer.com/statistics/computational+statistics/book/978-3-319-03163-7 cshalizi to:NB books:noted data_analysis R text_mining humanities electronic_copy books:owned https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8410e555cf39/ Bro Bash | Jacobin 2014-06-09T17:22:09+00:00 https://www.jacobinmag.com/2014/06/bro-bash/ cshalizi progressive_forces feminism sexism data_analysis https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2634c529c5dd/ Addendum: Response to FT 2014-05-30T02:49:58+00:00 http://piketty.pse.ens.fr/files/capital21c/en/Piketty2014TechnicalAppendixResponsetoFT.pdf cshalizi inequality economics data_analysis piketty.thomas evisceration via:unfogged https://pinboard.in/ https://pinboard.in/u:cshalizi/b:d5215ef5f9a6/ Data problems with Capital in the 21st Century | Money Supply 2014-05-25T12:33:45+00:00 http://blogs.ft.com/money-supply/2014/05/23/data-problems-with-capital-in-the-21st-century/ cshalizi economics inequality data_analysis piketty.thomas https://pinboard.in/ https://pinboard.in/u:cshalizi/b:84dd35140ef6/ [1403.7400] Big Questions for Social Media Big Data: Representativeness, Validity and Other Methodological Pitfalls 2014-04-22T15:46:00+00:00 http://arxiv.org/abs/1403.7400 cshalizi to:NB social_science_methodology social_media data_analysis tufekci.zeynep social_measurement have_read to_teach:data-mining to_teach:baby-nets https://pinboard.in/ https://pinboard.in/u:cshalizi/b:bc75ace1a2f7/ The Overview Project » Algorithms are not enough: lessons bringing computer science to journalism 2014-04-04T16:15:42+00:00 http://overview.ap.org/blog/2014/01/algorithms-are-not-enough-lessons-bringing-computer-science-to-journalism/ cshalizi data_analysis text_mining journalism programming design data_mining visual_display_of_quantitative_information to_teach:data-mining to_teach:statcomp to:blog https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9e6f6ed730f6/ Quantify Everything: A Dream of a Feminist Data Future, by Amelia Abreu | Model View Culture 2014-04-03T15:51:14+00:00 http://modelviewculture.com/pieces/quantify-everything-a-dream-of-a-feminist-data-future cshalizifeminism data_analysis measurement labor via:perspectivelute have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ad15fe501cda/ [1401.0742] Data Smashing 2014-03-10T02:14:47+00:00 http://arxiv.org/abs/1401.0742 cshalizi to:NB data_analysis statistics stochastic_processes lipson.hod re:AoS_project color_me_skeptical https://pinboard.in/ https://pinboard.in/u:cshalizi/b:677dfc46524a/ [1401.5226] The Why and How of Nonnegative Matrix Factorization 2014-03-10T01:35:57+00:00 http://arxiv.org/abs/1401.5226 cshalizi to:NB data_analysis low-rank_approximation optimization https://pinboard.in/ https://pinboard.in/u:cshalizi/b:6b063dad6a3a/ Scalable Strategies for Computing with Massive Data 2014-02-21T00:29:41+00:00 http://www.jstatsoft.org/v55/i14 cshalizi R computational_statistics data_analysis in_NB to_teach:statcomp have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:55d52a2c8dbc/ Why do you look at the speck in your sister’s quilt plot and pay no attention to the plank in your own heat map? | Bits of DNA 2014-02-18T02:45:18+00:00 http://liorpachter.wordpress.com/2014/01/19/why-do-you-look-at-the-speck-in-your-sisters-quilt-plot-and-pay-no-attention-to-the-plank-in-your-own-heat-map/ cshalizivisual_display_of_quantitative_information data_analysis bad_data_analysis https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f0adfc6a81b9/ [1402.2965] Zipf's Law for All the Natural Cities around the World 2014-02-18T00:36:52+00:00 http://arxiv.org/abs/1402.2965 cshalizi to:NB cities heavy_tails data_analysis color_me_skeptical https://pinboard.in/ https://pinboard.in/u:cshalizi/b:7e32eeec9014/ On the scalability of statistical procedures: why the p-value bashers just don’t get it. | Simply Statistics 2014-02-17T13:51:05+00:00 http://simplystatistics.org/2014/02/14/on-the-scalability-of-statistical-procedures-why-the-p-value-bashers-just-dont-get-it/ cshalizi hypothesis_testing statistics bad_data_analysis data_analysis https://pinboard.in/ https://pinboard.in/u:cshalizi/b:fe2a977ccd05/ Encoding and decoding in fMRI 2014-01-02T23:22:14+00:00 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3037423/ cshalizihave_read neural_coding_and_decoding fmri data_analysis classifiers regression in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1be814d11b9a/ [1010.0520] Successive normalization of rectangular arrays 2013-12-14T16:36:45+00:00 http://arxiv.org/abs/1010.0520 cshalizi to:NB data_analysis https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b5148b24559a/ AER (103,7) p. 3001 - Conclusions Regarding Cross-Group Differences in Happiness Depend on Difficulty of Reaching Respondents 2013-12-04T17:28:22+00:00 http://www.aeaweb.org/articles.php?doi=10.1257/aer.103.7.3001 cshalizi to:NB data_analysis surveys statistics happiness color_me_skeptical https://pinboard.in/ https://pinboard.in/u:cshalizi/b:55ef0d334937/