Pinboard (cshalizi) https://pinboard.in/u:cshalizi/public/ recent bookmarks from cshalizi A short note on the median-of-means estimator (Yen-Chi Chen, 2020) 2026-04-23T16:43:42+00:00 https://faculty.washington.edu/yenchic/short_note/note_MoM.pdf cshalizi to:NB have_read statistics heavy_tails estimation empirical_processes https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ee5135168ce3/ Yes, we did discover the Higgs! - Theory And Practice 2026-04-16T17:30:22+00:00 https://theoryandpractice.org/2024/10/Yes,%20we%20did%20discover%20the%20Higgs!/ cshalizicranmer.kyle particle_physics hypothesis_testing statistics philosophy_of_science via:? sociology_of_science science_as_a_social_process have_read to:blog https://pinboard.in/ https://pinboard.in/u:cshalizi/b:86fa85118401/ Carnapian Inductive Logic for Exponential Smoothing | Philosophy of Science | Cambridge Core 2026-04-15T13:16:02+00:00 https://www.cambridge.org/core/journals/philosophy-of-science/article/abs/carnapian-inductive-logic-for-exponential-smoothing/84DD31142459DFD0289CCE8915E79952?WT.mc_id=New%2520Cambridge%2520Alert%2520-%2520Articles cshalizi to:NB prediction statistics non-stationarity induction to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:0b80819ed32c/ Robust Misspecified Models - American Economic Association 2026-04-09T13:11:47+00:00 https://www.aeaweb.org/articles?id=10.1257/aer.20240246 cshalizi decision_theory misspecification re:bayes_as_evol statistics in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f59185400440/ Measured Inference: Scales, Statistics, and Scientific Inference | Philosophy of Science | Cambridge Core 2026-04-08T16:56:58+00:00 https://www.cambridge.org/core/journals/philosophy-of-science/article/measured-inference-scales-statistics-and-scientific-inference/527F6793A1C954F01A321E72F780E931?WT.mc_id=New%2520Cambridge%2520Alert%2520-%2520Issues cshalizi to:NB measurement philosophy_of_science statistics mayo-wilson.conor to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:cb7083aa4fd5/ [2512.24999] Basic Inequalities for First-Order Optimization with Applications to Statistical Risk Analysis 2026-01-07T15:13:39+00:00 https://arxiv.org/abs/2512.24999 cshalizi to:NB to_read optimization statistics re:HEAS tibshirani.ryan telgarsky.matus via:mraginsky https://pinboard.in/ https://pinboard.in/u:cshalizi/b:00ba72cd5eb8/ [2512.00175] Comparing Two Proxy Methods for Causal Identification 2025-12-07T15:10:34+00:00 https://arxiv.org/abs/2512.00175 cshalizi to:NB causal_inference statistics ogburn.elizabeth to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:17f84a7565d6/ [2510.16174] COWs and their Hybrids: A Statistical View of Custom Orthogonal Weights 2025-10-24T19:41:22+00:00 https://arxiv.org/abs/2510.16174 cshalizi to:NB classifiers hypothesis_testing statistics particle_physics kith_and_kin wasserman.larry https://pinboard.in/ https://pinboard.in/u:cshalizi/b:d79263d603f5/ Measured Inference: Scales, Statistics, and Scientific Inference | Philosophy of Science | Cambridge Core 2025-09-06T15:11:03+00:00 https://www.cambridge.org/core/journals/philosophy-of-science/article/measured-inference-scales-statistics-and-scientific-inference/527F6793A1C954F01A321E72F780E931?WT.mc_id=New%2520Cambridge%2520Alert%2520-%2520Articles cshalizi to:NB philosophy_of_science measurement statistics mayo-wilson.conor https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4117bf85534f/ The Sources of Researcher Variation in Economics by Nick Huntington-Klein, Claus C. Pörtner, Yubraj Acharya, Matus Adamkovic, Joop Adema, Lameck Ondieki Agasa, Imtiaz Ahmad, Mevlude Akbulut-Yuksel, Martin Eckhoff Andresen, David Angenendt, José-Ignacio 2025-09-05T16:16:09+00:00 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5152665 cshalizi to:NB social_science_methodology statistics to_teach:undergrad-ADA to_teach:undergrad-research https://pinboard.in/ https://pinboard.in/u:cshalizi/b:23ac152addad/ The Logit Model Measurement Problem | Philosophy of Science | Cambridge Core 2025-09-05T16:12:09+00:00 https://www.cambridge.org/core/journals/philosophy-of-science/article/logit-model-measurement-problem/4270AECB0E1E0CB6DEBE82A67A3ABD9F?WT.mc_id=New%2520Cambridge%2520Alert%2520-%2520Issues cshalizi to:NB social_science_methodology measurement logistic_regression statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:814432fc462e/ [2505.13432] Synthetic-Powered Predictive Inference 2025-09-04T13:48:51+00:00 https://arxiv.org/abs/2505.13432 cshalizi to:NB prediction conformal_prediction statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b33a182cf177/ [2412.20355] Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networks 2025-09-04T13:48:03+00:00 https://arxiv.org/abs/2412.20355 cshalizi to:NB statistics confidence_sets neural_networks regression uncertainty_for_neural_networks https://pinboard.in/ https://pinboard.in/u:cshalizi/b:edb0cef1f9c4/ Probability Theory for Quantitative Scientists | Cambridge University Press & Assessment 2025-08-16T23:02:29+00:00 https://www.cambridge.org/us/universitypress/subjects/physics/mathematical-methods/probability-theory-quantitative-scientists?format=HB&WT.mc_id=NGV_IOC_BC_BK%253b_PHYS%253b_Probability%2BTheory%2Bfor%2BQuantitative%2BScientists_Jul25 cshalizi to:NB books:noted probability statistics stochastic_processes statistical_mechanics of_course_its_really_a_spin_glass https://pinboard.in/ https://pinboard.in/u:cshalizi/b:62d2299db5f4/ Institute of Mathematical Statistics | Obituary: Ulf Grenander, 1923–2016 2025-07-09T18:14:55+00:00 https://imstat.org/2017/04/01/obituary-ulf-grenander-1923-2016/ cshalizihave_read to:NB lives_of_the_scientists grenander.ulf statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3cc0fdc69628/ [2504.03503] Operator Learning: A Statistical Perspective 2025-04-28T01:23:12+00:00 https://arxiv.org/abs/2504.03503 cshalizi to:NB approximation tewari.ambuj statistics equations_of_motion_from_a_time_series https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ad7e303203c2/ [2503.15850] Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey 2025-04-23T14:56:40+00:00 https://arxiv.org/abs/2503.15850 cshalizi in_NB statistics large_language_models_(so_called) uncertainty_for_neural_networks to_teach:statistics_and_generative_ai https://pinboard.in/ https://pinboard.in/u:cshalizi/b:7758c0625db0/ [2401.15800] Statistical Significance of Feature Importance Rankings 2025-03-31T23:37:55+00:00 https://arxiv.org/abs/2401.15800 cshalizi to:NB statistics variable_selection hooker.giles https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a0e052646ae3/ [2501.07772] Bridging Root-$n$ and Non-standard Asymptotics: Dimension-agnostic Adaptive Inference in M-Estimation 2025-03-24T00:12:30+00:00 https://arxiv.org/abs/2501.07772 cshalizi to:NB statistics estimation kuchibhotla.arun_kmar re:HEAS via:lal.apoorva https://pinboard.in/ https://pinboard.in/u:cshalizi/b:493622f19ddd/ 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/ Data Science at the Singularity · Issue 6.1, Winter 2024 2025-03-17T00:44:57+00:00 https://hdsr.mitpress.mit.edu/pub/g9mau4m0/release/2 cshalizi to:NB statistics machine_learning methodological_advice donoho.david https://pinboard.in/ https://pinboard.in/u:cshalizi/b:cc9f3e206846/ [2502.20755] Minimax Optimal Kernel Two-Sample Tests with Random Features 2025-03-16T19:31:58+00:00 https://arxiv.org/abs/2502.20755 cshalizi to:NB hilbert_space statistics two-sample_tests random_features https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e765167ec668/ Thinking Through Data: How Outliers, Aggregates, and Patterns Shape Perception 2025-03-14T17:49:16+00:00 https://www.degruyter.com/document/isbn/9781503642102/html cshalizi to:NB books:noted statistics aesthetics history_of_statistics visual_display_of_quantitative_information downloaded https://pinboard.in/ https://pinboard.in/u:cshalizi/b:adb95a135c62/ Ordinal data: taking transformation invariance seriously - Biased and Inefficient 2025-03-11T15:44:29+00:00 https://notstatschat.rbind.io/2025/02/26/ordinal-data-taking-transformation-invariance-seriously/ cshalizi statistics measurement lumley.thomas https://pinboard.in/ https://pinboard.in/u:cshalizi/b:191b567df688/ [2308.03296] Studying Large Language Model Generalization with Influence Functions 2025-03-10T15:14:03+00:00 https://arxiv.org/abs/2308.03296 cshalizi in_NB have_read optimization statistics computational_statistics neural_networks large_language_models_(so_called) estimation re:large_language_models_in_statistical_perspective feral_library_catalogs re:gopnikism to_teach:statistics_and_generative_ai https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3b2888a6a8c1/ [2502.17814] An Overview of Large Language Models for Statisticians 2025-03-10T15:03:46+00:00 https://arxiv.org/abs/2502.17814 cshalizi to:NB to_read have_skimmed large_language_models_(so_called) statistics re:large_language_models_in_statistical_perspective https://pinboard.in/ https://pinboard.in/u:cshalizi/b:0e6beffb3457/ [2308.07037] Bayesian Flow Networks 2025-03-10T13:55:12+00:00 https://arxiv.org/abs/2308.07037 cshalizi to:NB graphical_models neural_networks simulation statistics computational_statistics to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4f89537c0697/ Adapting to Misspecification | NBER 2025-03-08T21:25:44+00:00 https://www.nber.org/papers/w32906 cshalizi to:NB estimation misspecification statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:87581585e77d/ [2411.00247] Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond 2025-01-22T15:36:23+00:00 https://arxiv.org/abs/2411.00247 cshalizi to:NB neural_networks learning_theory statistics to_read via:mraginsky to_teach:statistics_and_generative_ai https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b500158ab0cc/ USP: an independence test that improves on Pearson’s chi-squared and the G-test | Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 2025-01-10T15:06:42+00:00 https://royalsocietypublishing.org/doi/10.1098/rspa.2021.0549 cshalizi to:NB dependence_measures hypothesis_testing independence_testing statistics samworth.richard_j. https://pinboard.in/ https://pinboard.in/u:cshalizi/b:0861a549ae01/ On the unnecessary ubiquity of hierarchical linear modeling. 2025-01-08T14:30:08+00:00 https://psycnet.apa.org/record/2016-22467-001 cshalizi to:NB regression to_teach:linear_models psychology statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:0afe5c9a51c9/ [2306.16591] Nonparametric Causal Decomposition of Group Disparities 2025-01-06T14:48:19+00:00 https://arxiv.org/abs/2306.16591 cshalizi to:NB to_read have_skimmed causal_inference statistics elwert.felix to_teach:statistics_of_inequality_and_discrimination sds_icsd_search https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3123a651d148/ [2305.04116] The Fundamental Limits of Structure-Agnostic Functional Estimation 2024-12-11T19:37:38+00:00 https://arxiv.org/abs/2305.04116 cshalizi to:NB to_read statistics nonparametrics entropy_estimation kith_and_kin kennedy.edward_h. wasserman.larry balakrishnan.sivaraman causal_inference https://pinboard.in/ https://pinboard.in/u:cshalizi/b:0ee8eb04a835/ [2409.18842] Classical Statistical (In-Sample) Intuitions Don't Generalize Well: A Note on Bias-Variance Tradeoffs, Overfitting and Moving from Fixed to Random Designs 2024-12-11T16:38:39+00:00 https://arxiv.org/abs/2409.18842 cshalizi regression statistics interpolation_aka_memorizing_the_training_data in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:bee6248ae087/ 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/ Likelihood-Free Hypothesis Testing and Applications of the Energy Distance 2024-12-06T14:04:25+00:00 https://dspace.mit.edu/handle/1721.1/155358 cshalizi to:NB to_read hypothesis_testing two-sample_tests statistics via:_onionesque kernel_methods goodness-of-fit https://pinboard.in/ https://pinboard.in/u:cshalizi/b:d56e7c266c6a/ Physician–patient racial concordance and newborn mortality | PNAS 2024-11-28T00:40:46+00:00 https://www.pnas.org/doi/10.1073/pnas.2409264121 cshalizi statistics medicine to_teach:statistics_of_inequality_and_discrimination have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4cef516c110a/ Robust misinterpretation of confidence intervals | Psychonomic Bulletin & Review 2024-07-11T14:03:21+00:00 https://link.springer.com/article/10.3758/s13423-013-0572-3 cshalizi to_read confidence_sets statistics teaching via:? have_skimmed in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1a4dda6ad6cb/ Spiders Georg - Wikipedia 2024-06-10T13:11:29+00:00 https://en.m.wikipedia.org/wiki/Spiders_Georg cshalizi statistics funny:pointed to_teach:statistics_of_inequality_and_discrimination heavy_tails to_teach https://pinboard.in/ https://pinboard.in/u:cshalizi/b:af1852c94ecf/ Bamboozled by Bonferroni | Philosophy of Science | Cambridge Core 2024-04-24T18:13:43+00:00 https://www.cambridge.org/core/journals/philosophy-of-science/article/bamboozled-by-bonferroni/0F570CAC41364F1F4D808A419A881277?WT.mc_id=New%2520Cambridge%2520Alert%2520-%2520Articles cshalizi to:NB to_read multiple_testing statistics philosophy_of_science mayo-wilson.conor https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8a22642ee27e/ [2404.11464] Rates of convergence and normal approximations for estimators of local dependence random graph models 2024-04-24T14:12:23+00:00 https://arxiv.org/abs/2404.11464 cshalizi statistics network_data_analysis exponential_family_random_graphs stochastic_block_models in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:42f4a77dbcd5/ The gates to the profession are open: the alternative institutionalization of data science | Theory and Society 2024-04-01T03:55:53+00:00 https://link.springer.com/article/10.1007/s11186-023-09529-0 cshalizi to:NB sociology system_of_professions statistics data_science_so_called https://pinboard.in/ https://pinboard.in/u:cshalizi/b:304810d738e8/ [2402.15213] Statistical Agnostic Regression: a machine learning method to validate regression models 2024-03-05T16:37:22+00:00 https://arxiv.org/abs/2402.15213 cshalizi statistics linear_regression hypothesis_testing color_me_skeptical in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3c164bcb0d95/ [2309.10140] A Geometric Framework for Neural Feature Learning 2023-12-08T14:18:57+00:00 https://arxiv.org/abs/2309.10140 cshalizi to:NB information_geometry variable_selection neural_networks statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:47874c9b2e08/ 5th Symposium on Approximate Bayesian Inference (2023) 2023-12-08T14:10:44+00:00 http://approximateinference.org/accepted/ cshalizistatistics computational_statistics bayesianism to_download https://pinboard.in/ https://pinboard.in/u:cshalizi/b:01cc79977083/ Polygenic scoring accuracy varies across the genetic ancestry continuum | Nature 2023-12-05T15:19:53+00:00 https://www.nature.com/articles/s41586-023-06079-4 cshalizi to:NB statistics human_genetics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:de2fea5810ff/ Data Science for Neuroimaging | Princeton University Press 2023-11-16T18:14:01+00:00 https://press.princeton.edu/books/paperback/9780691222752/data-science-for-neuroimaging cshalizi to:NB books:noted fmri neural_data_analysis yarkoni.tal statistics self-recommending books:suggest_to_library https://pinboard.in/ https://pinboard.in/u:cshalizi/b:575e7d937ce9/ The screening effect in Kriging 2023-10-05T01:22:50+00:00 https://projecteuclid.org/journals/annals-of-statistics/volume-30/issue-1/The-screening-effect-in-Kriging/10.1214/aos/1015362194.full cshalizi have_skimmed spatial_statistics random_fields statistics to_teach:data_over_space_and_time in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:eb89cb46ceea/ [2206.06421] Repro Samples Method for Finite- and Large-Sample Inferences 2023-10-04T17:51:27+00:00 https://arxiv.org/abs/2206.06421 cshalizi heard_the_talk confidence_sets simulation-based_inference statistics re:codename:catherine_wheel in_NB have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:72263b788043/ ​​From millionaires to Muslims, small subgroups of the population seem much larger to many Americans | YouGov 2023-06-15T19:01:21+00:00 https://today.yougov.com/topics/politics/articles-reports/2022/03/15/americans-misestimate-small-subgroups-population cshalizi have_read statistics cognitive_science demography to_teach:statistics_of_inequality_and_discrimination https://pinboard.in/ https://pinboard.in/u:cshalizi/b:11dc79e7b78b/ Is the United States Maternal Mortality Rate Increasing? Disentangling trends from measurement issues Short title: U.S. Maternal Mortality Trends - PMC 2023-06-15T19:00:21+00:00 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5001799/ cshalizi have_read social_measurement demography statistics to_teach in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b3ff5c1d8dde/ Cross-Validation: What Does It Estimate and How Well Does It Do It? 2023-06-08T15:37:53+00:00 https://doi.org/10.1080/01621459.2023.2197686 cshalizi cross-validation statistics tibshirani.robert hastie.trevor to_read to_teach in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:92e07da3433c/ [2305.08429] Bayesian inference for misspecified generative models 2023-06-08T15:32:21+00:00 https://arxiv.org/abs/2305.08429 cshalizi to:NB bayesianism misspecification statistics re:phil-of-bayes_paper to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:683fd1cb974b/ [2301.13724] The passive symmetries of machine learning 2023-05-02T21:11:45+00:00 https://arxiv.org/abs/2301.13724 cshalizi symmetry machine_learning statistics via:rvenkat modeling scholkopf.bernhard in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:83362f63b370/ OSF Preprints | Quantitative Political Science Research is Greatly Underpowered 2023-05-02T20:12:17+00:00 https://osf.io/7vy2f/ cshalizi to:NB to_read political_science social_science_methodology statistics hypothesis_testing estimation re:neutral_model_of_inquiry https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c31528a09f2b/ Power of Bias in Economics Research | The Economic Journal | Oxford Academic 2023-05-02T20:10:08+00:00 https://academic.oup.com/ej/article-abstract/127/605/F236/5069452?login=false cshalizi to:NB economics econometrics statistics hypothesis_testing re:neutral_model_of_inquiry estimation have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2c2f32247eac/ [physics/0001019] Approaching the parameter estimation quality of maximum likelihood via generalized moments 2023-05-01T20:12:15+00:00 https://arxiv.org/abs/physics/0001019 cshalizi in_NB have_read likelihood estimation statistics cleaning_out_the_filing_cabinet_for_the_first_time_since_2005 https://pinboard.in/ https://pinboard.in/u:cshalizi/b:418dde8076ff/ Journal of Open Source Software: policytree: Policy learning via doubly robust empirical welfare maximization over trees 2023-04-27T14:40:08+00:00 https://joss.theoj.org/papers/10.21105/joss.02232 cshalizito:NB decision_trees athey.susan wager.stefan statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:364aa068e29b/ Parameter-Based Asymptotics on JSTOR 2023-04-24T21:32:07+00:00 https://www.jstor.org/stable/2336834 cshalizi to_reread estimation statistics cleaning_out_the_filing_cabinet_for_the_first_time_since_2005 likelihood statistical_inference_for_stochastic_processes re:HEAS in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:5c278c6fcc6d/ The Generalized Oaxaca-Blinder Estimator: Journal of the American Statistical Association: Vol 0, No 0 2023-03-07T15:40:40+00:00 https://www.tandfonline.com/doi/abs/10.1080/01621459.2021.1941053 cshalizi to:NB causal_inference experimental_design statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c6eec1e68747/ [2109.03582] Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes 2023-02-15T19:57:50+00:00 https://arxiv.org/abs/2109.03582 cshalizi to:NB stochastic_processes kernel_methods causal_discovery time_series statistical_inference_for_stochastic_processes hilbert_space re:codename:catherine_wheel two-sample_tests statistics have_read path_signatures https://pinboard.in/ https://pinboard.in/u:cshalizi/b:105636bb7bad/ Mortality Change among Less Educated Americans - American Economic Association 2023-01-01T04:26:29+00:00 https://www.aeaweb.org/articles?id=10.1257/app.20190297 cshalizi to:NB demography statistics inequality to_teach:statistics_of_inequality_and_discrimination https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f915cce2a34c/ [2210.07491] Latent process models for functional network data 2022-12-09T20:01:58+00:00 https://arxiv.org/abs/2210.07491 cshalizi to:NB network_data_analysis statistics inference_to_latent_objects functional_data_analysis levina.liza to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:df335b19ec43/ 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/ Health Effects of Exposure to Radon: BEIR VI |The National Academies Press 2022-10-24T02:02:36+00:00 https://nap.nationalacademies.org/catalog/5499/health-effects-of-exposure-to-radon-beir-vi cshalizi to_read radon epidemiology statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:450d60515b71/ [2112.03626] Phase transitions in nonparametric regressions: a curse of exploiting higher degree smoothness assumptions in finite samples 2022-07-25T17:15:55+00:00 https://arxiv.org/abs/2112.03626 cshalizi in_NB regression nonparametrics minimax learning_theory statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e1ba3a57ef77/ Data-Derived Weak Universal Consistency 2022-07-19T13:56:11+00:00 https://jmlr.org/papers/v23/20-644.html cshalizi in_NB learning_theory statistics information_theory to_read to_teach:childs_garden_of_statistical_learning_theory https://pinboard.in/ https://pinboard.in/u:cshalizi/b:7ba350217b53/ [1811.11603] Distribution Regression with Sample Selection, with an Application to Wage Decompositions in the UK 2022-07-09T18:57:08+00:00 https://arxiv.org/abs/1811.11603 cshalizi to:NB statistics density_estimation regression causal_inference inequality via:donsker_class to_teach:statistics_of_inequality_and_discrimination https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a84c4133e283/ Wage Discrimination: Reduced Form and Structural Estimates on JSTOR (Blinder, 1973) 2022-07-07T20:56:37+00:00 https://www.jstor.org/stable/144855 cshalizi economics inequality statistics discrimination have_read to_teach:statistics_of_inequality_and_discrimination regression have_taught https://pinboard.in/ https://pinboard.in/u:cshalizi/b:11e7673afead/ Mathematical Pictures at a Data Science Exhibition 2022-07-02T13:39:17+00:00 https://www.cambridge.org/core/books/mathematical-pictures-at-a-data-science-exhibition/0AD8668B4657A24C5135DA7DA6641B41?pageNum=2&searchWithinIds=0AD8668B4657A24C5135DA7DA6641B41&productType=BOOK_PART&searchWithinIds=0AD8668B4657A24C5135DA7DA6641B41&productType=BOOK_PART&sort=mtdMetadata.bookPartMeta._mtdPositionSortable%3Aasc&pageSize=30&template=cambridge-core%2Fbook%2Fcontents%2Flistings&ignoreExclusions=true#fndtn-information cshalizi to:NB books:noted statistics optimization compressed_sensing neural_networks downloaded https://pinboard.in/ https://pinboard.in/u:cshalizi/b:bdf98b946f53/