Pinboard (cshalizi)
https://pinboard.in/u:cshalizi/public/
recent bookmarks from cshalizi[2310.17651] High-Dimensional Prediction for Sequential Decision Making2023-12-10T02:33:04+00:00
https://arxiv.org/abs/2310.17651#
cshalizito:NB prediction decision_theory low-regret_learning roth.aaron conformal_predictionhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:1d91278c068d/[2207.12382] On Confidence Sequences for Bounded Random Processes via Universal Gambling Strategies2023-12-08T14:36:17+00:00
https://arxiv.org/abs/2207.12382
cshalizito:NB prediction confidence_sets universal_prediction information_theoryhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:01c7adc068b9/Validity of the GRE without Restriction of Range - Bradley E. Huitema, Cheri R. Stein, 19932023-12-05T18:25:42+00:00
https://doi.org/10.2466/pr0.1993.72.1.123
cshalizito:NB to_read via:? standardized_testing mental_testing to_teach:statistics_of_inequality_and_discrimination psychometrics predictionhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:2250814cce70/A Bayesian Approach to Short-term Forecasting (Harrison and Stevens, 1971)2023-09-21T16:50:23+00:00
https://doi.org/10.2307/3008187
cshaliziin_NB project_cybersyn time_series prediction change-point_problem non-stationarity bayesianism cybersyn have_readhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:3899e3000a29/Learning probabilistic prediction functions | IEEE Conference Publication | IEEE Xplore2023-05-08T19:22:57+00:00
https://ieeexplore.ieee.org/document/21929
cshaliziin_NB learning_theory prediction have_read low-regret_learning probability cleaning_out_the_filing_cabinet_for_the_first_time_since_2005https://pinboard.in/https://pinboard.in/u:cshalizi/b:19a5b745c5e5/A Rational Route to Randomness on JSTOR2023-05-08T19:12:32+00:00
https://www.jstor.org/stable/2171879
cshalizihave_read cleaning_out_the_filing_cabinet_for_the_first_time_since_2005 economics learning_in_games prediction brock.william_a. hommes.cars dynamical_systems chaos in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:69c12a7b5294/Universal Prediction Band via Semi-Definite Programming | Journal of the Royal Statistical Society Series B: Statistical Methodology | Oxford Academic2023-04-27T14:36:57+00:00
https://academic.oup.com/jrsssb/article/84/4/1558/7073259
cshaliziprediction uncertainty_for_neural_networks conformal_prediction optimization in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:d7cb94567069/[nlin/0212015] Local dimension and finite time prediction in spatiotemporal chaotic systems2023-04-24T21:46:32+00:00
https://arxiv.org/abs/nlin/0212015
cshalizito_reread prediction spatio-temporal_statistics dynamical_systems factor_analysis cleaning_out_the_filing_cabinet_for_the_first_time_since_2005 have_read in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:a72594c17206/The structure of responses to a sequence of binary events - ScienceDirect2023-04-24T21:43:30+00:00
https://doi.org/10.1016/0022-2496(66)90020-4
cshalizihave_read markov_models cognitive_science variable-length_markov_models_aka_context_trees statistical_inference_for_stochastic_processes re:AoS_project cleaning_out_the_filing_cabinet_for_the_first_time_since_2005 re:dissertation prediction in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:851a2a33fb27/[2302.10095] Conformal Prediction for Network-Assisted Regression2023-03-18T13:55:08+00:00
https://arxiv.org/abs/2302.10095
cshalizinetwork_data_analysis prediction regression conformal_prediction kith_and_kin lunde.robert levina.elizaveta zhu.ji in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:cd205e9fff43/Roger White, The epistemic advantage of prediction over accommodation - PhilPapers2023-02-24T03:36:01+00:00
https://philpapers.org/rec/WHITEA
cshalizito:NB prediction philosophy_of_science re:phil-of-bayes_paper via:?https://pinboard.in/https://pinboard.in/u:cshalizi/b:7dd0298aa71e/[2301.09633] Prediction-Powered Inference2023-02-24T03:35:16+00:00
https://arxiv.org/abs/2301.09633
cshalizito:NB confidence_sets jordan.michael_i. prediction via:?https://pinboard.in/https://pinboard.in/u:cshalizi/b:2391d4d47bcc/How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results 🏆 | jakehofman.com2023-02-13T14:57:39+00:00
http://jakehofman.com/publication/visualizing-inferential-uncertainty/
cshalizito:NB visual_display_of_quantitative_information confidence_sets prediction hofman.jake via:? to_teach:linear_models to_teach:undergrad-ADAhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:00972a2320bb/[2209.01687] Reconciling Individual Probability Forecasts2022-10-07T19:43:27+00:00
https://arxiv.org/abs/2209.01687
cshalizito:NB prediction probability roth.aaron tolbert.alexanderhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:df3a63b107fc/[2209.06454] Prediction Intervals and Confidence Regions for Symbolic Regression Models based on Likelihood Profiles2022-09-30T19:58:43+00:00
https://arxiv.org/abs/2209.06454
cshaliziprediction regression uncertainty_for_neural_networks in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:fec3aab3d007/The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia | The Review of Economics and Statistics | MIT Press2022-07-23T17:05:37+00:00
https://direct.mit.edu/rest/article-abstract/104/4/764/97753/The-Promise-and-Pitfalls-of-Conflict-Prediction?redirectedFrom=fulltext
cshalizito:NB prediction violence political_science blattman.chrishttps://pinboard.in/https://pinboard.in/u:cshalizi/b:4795b27b0448/How China Is Policing the Future - The New York Times2022-07-22T14:57:34+00:00
https://www.nytimes.com/2022/06/25/technology/china-surveillance-police.html
cshalizihave_read to_teach:data-mining seeing_like_a_finite_state_machine surveillance china:prc prediction data_mininghttps://pinboard.in/https://pinboard.in/u:cshalizi/b:b19320bc850b/[2206.06473] A Dilemma for Solomonoff Prediction2022-07-14T18:32:32+00:00
https://arxiv.org/abs/2206.06473
cshalizito:NB prediction algorithmic_information_theoryhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:a6a4c3d82643/Big Data and the Welfare State2022-07-03T03:34:09+00:00
https://www.cambridge.org/core/books/big-data-and-the-welfare-state/340936CE478BD6264DE77D9123357D4A#fndtn-information
cshalizito:NB books:noted prediction data_mining political_economy welfare_state downloadedhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:01042e85ab57/How China Is Policing the Future - The New York Times2022-06-28T18:24:38+00:00
https://www.nytimes.com/2022/06/25/technology/china-surveillance-police.html?action=click&module=Well&pgtype=Homepage§ion=Business
cshalizisurveillance data_mining prediction china:prc to_teach:data-mining policehttps://pinboard.in/https://pinboard.in/u:cshalizi/b:a70ccc43e029/[2112.07039] Limits of epidemic prediction using SIR models2022-06-15T17:57:33+00:00
https://arxiv.org/abs/2112.07039
cshaliziepidemic_models prediction partial_identification dunson.david to_teach:data_over_space_and_time identifiability have_skimmed in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:74293ce53c25/[2206.04902] Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends!2022-06-13T17:40:28+00:00
https://arxiv.org/abs/2206.04902
cshalizito:NB time_series prediction macroeconomics re:your_favorite_dsge_sucks ensemble_methodshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:b6484bcc0127/[2206.01295] Rashomon Capacity: A Metric for Predictive Multiplicity in Probabilistic Classification2022-06-09T08:28:56+00:00
https://arxiv.org/abs/2206.01295
cshalizito:NB prediction classifiershttps://pinboard.in/https://pinboard.in/u:cshalizi/b:ebd80ca97d0b/[2205.01593] Causal Regularization: On the trade-off between in-sample risk and out-of-sample risk guarantees2022-05-11T16:49:40+00:00
https://arxiv.org/abs/2205.01593
cshalizito:NB causal_inference learning_theory predictionhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:b92b191c8fa9/Forecasting for Economics and Business2022-04-13T04:08:57+00:00
https://donskerclass.github.io/Forecasting.html
cshaliziprediction time_series childers.david kith_and_kin statistics bloggedhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:09de093960f7/Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems2022-03-25T18:56:36+00:00
https://www.jmlr.org/papers/v23/20-1165.html
cshalizito_read prediction sufficiency decision_theory reinforcement_learning in_NB downloaded via:mraginskyhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:5485a68d723d/[2202.06921] Simple Models and Biased Forecasts2022-03-07T20:52:59+00:00
https://arxiv.org/abs/2202.06921
cshalizito:NB misspecification prediction macroeconomics re:your_favorite_dsge_suckshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:f20fe7f16747/[2202.07650] Conformal Prediction Sets with Limited False Positives2022-02-27T03:36:52+00:00
https://arxiv.org/abs/2202.07650
cshaliziprediction conformal_prediction confidence_sets neyman-pearson_classification to_read in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:7ac02614c0d2/Fundamental limitations on efficiently forecasting certain epidemic measures in network models | PNAS2022-01-31T14:21:56+00:00
https://www.pnas.org/content/119/4/e2109228119
cshalizito:NB to_read epidemics_on_networks computational_complexity prediction levin.simonhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:e65809b7b3d3/Learning About the Long Run | NBER2021-11-22T15:15:35+00:00
https://www.nber.org/papers/w29495
cshalizito:NB prediction misspecificationhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:ab7ca6410ac1/PREDICTIONS OF FRESHMAN GRADE‐POINT AVERAGE FROM THE REVISED AND RECENTERED SAT® I: REASONING TEST - Bridgeman - 2000 - ETS Research Report Series - Wiley Online Library2021-10-27T18:29:46+00:00
https://onlinelibrary.wiley.com/doi/abs/10.1002/j.2333-8504.2000.tb01824.x
cshalizito:NB have_read standardized_testing mental_testing academia prediction to_teach:statistics_of_inequality_and_discriminationhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:ca4732feef48/Atlas of Forecasts | The MIT Press2021-09-23T17:57:15+00:00
https://mitpress.mit.edu/books/atlas-forecasts
cshalizito:NB books:noted coveted visual_display_of_quantitative_information pretty_pictures prediction popular_science borner.katy books:in_libraryhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:5caec1738b81/[2109.00173] FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes2021-09-07T05:21:00+00:00
https://arxiv.org/abs/2109.00173
cshalizito:NB prediction statistics ensemble_methods algorithmic_fairness kith_and_kin approved_the_thesis mishler.alan kennedy.edward_h.https://pinboard.in/https://pinboard.in/u:cshalizi/b:9f7430fb6211/Asymmetric Attention - American Economic Association2021-08-30T15:11:52+00:00
https://www.aeaweb.org/articles?id=10.1257/aer.20191432
cshalizito:NB prediction psychology macroeconomics re:your_favorite_dsge_suckshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:f8e69572c603/Learning models with uniform performance via distributionally robust optimization2021-08-09T16:24:20+00:00
https://projecteuclid.org/journals/annals-of-statistics/volume-49/issue-3/Learning-models-with-uniform-performance-via-distributionally-robust-optimization/10.1214/20-AOS2004.short
cshalizito:NB optimization statistics prediction learning_theory non-stationarity robustnesshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:064040e8a17c/[2005.08904] Necessary and sufficient conditions for asymptotically optimal linear prediction of random fields on compact metric spaces2021-08-03T04:41:04+00:00
https://arxiv.org/abs/2005.08904
cshalizito:NB spatial_statistics spatio-temporal_statistics prediction to_teach:data_over_space_and_time statisticshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:efc5237d4c3c/Sources of predictive information in dynamical neural networks | Scientific Reports2021-07-26T14:39:03+00:00
https://www.nature.com/articles/s41598-020-73380-x
cshalizito:NB prediction information_theory color_me_skeptical via:vagueryhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:d6fce5786969/Phys. Rev. E 104, 014409 (2021) - Choosing dynamical systems that predict weak input2021-07-22T15:42:39+00:00
https://journals.aps.org/pre/abstract/10.1103/PhysRevE.104.014409
cshalizito:NB prediction dynamical_systems design_for_a_brainhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:4b0cfbc8d859/Adaptive Prediction for Social Contexts: The Cerebellar Contribution to Typical and Atypical Social Behaviors | Annual Review of Neuroscience2021-07-09T16:37:43+00:00
https://www.annualreviews.org/doi/abs/10.1146/annurev-neuro-100120-092143
cshalizito:NB neuroscience psychology predictionhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:0da0d18e55c8/[2106.15682] Predictive Model Degrees of Freedom in Linear Regression2021-07-01T15:57:06+00:00
https://arxiv.org/abs/2106.15682
cshaliziprediction degrees_of_freedom to_read statistics in_NB interpolation_aka_memorizing_the_training_datahttps://pinboard.in/https://pinboard.in/u:cshalizi/b:37a872eeefcb/[2106.14990] Committor Functions for Climate Phenomena at the Predictability Margin: The example of El Niño Southern Oscillation in the Jin and Timmerman model2021-06-30T18:44:05+00:00
https://arxiv.org/abs/2106.14990
cshalizito:NB prediction climatology stochastic_processes bouchet.freddy to_read statisticshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:171390f4e0e1/[2106.13947] Optimal prediction of Markov chains with and without spectral gap2021-06-30T02:57:36+00:00
https://arxiv.org/abs/2106.13947
cshalizito:NB prediction time_series mixing markov_models statisticshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:be4dfa48c5ee/[2106.02589] On Ensembling vs Merging: Least Squares and Random Forests under Covariate Shift2021-06-08T13:55:10+00:00
https://arxiv.org/abs/2106.02589
cshalizito:NB ensemble_methods prediction clustering statisticshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:c784d0848e5a/[2105.14045] Bayes-optimal prediction with frequentist coverage control2021-06-01T17:53:00+00:00
https://arxiv.org/abs/2105.14045
cshaliziprediction confidence_sets conformal_prediction bayesian_consistency hoff.peter to_read statistics in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:f4ac21a05ab0/[1911.01850] Stabilizing Variable Selection and Regression2021-05-24T22:54:41+00:00
https://arxiv.org/abs/1911.01850
cshalizito:NB variable_selection regression prediction statistics generalizability buhlmann.peterhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:92e2cf839bf8/[2008.11664] Improving Fairness in Criminal Justice Algorithmic Risk Assessments Using Conformal Prediction Sets2021-05-24T22:53:32+00:00
https://arxiv.org/abs/2008.11664
cshaliziprediction conformal_prediction algorithmic_fairness kuchibhotla.arun berk.richard_a. in_NB statisticshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:0ae8cc0b8153/[2105.07811] Mundus vult decipi, ergo decipiatur: Visual Communication of Uncertainty in Election Polls2021-05-18T17:59:24+00:00
https://arxiv.org/abs/2105.07811
cshalizito:NB visual_display_of_quantitative_information confidence_sets prediction statistics political_sciencehttps://pinboard.in/https://pinboard.in/u:cshalizi/b:03eee10e15fb/[1712.09089] An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls2021-05-18T17:58:38+00:00
https://arxiv.org/abs/1712.09089
cshaliziprediction conformal_prediction confidence_sets causal_inference statistics in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:57360895fbe4/[2105.07283] Calibrating sufficiently2021-05-18T14:11:08+00:00
https://arxiv.org/abs/2105.07283
cshalizito:NB classifiers prediction calibration sufficiency information_theory statisticshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:fe18352f7b8e/[2105.07294] Ambiguity Rate of Hidden Markov Processes2021-05-18T13:58:06+00:00
https://arxiv.org/abs/2105.07294
cshalizito:NB prediction information_theory kith_and_kin crutchfield.james_p.https://pinboard.in/https://pinboard.in/u:cshalizi/b:54cca4b3d80e/[2105.04648] Joint Fairness Model with Applications to Risk Predictions for Under-represented Populations2021-05-12T18:29:05+00:00
https://arxiv.org/abs/2105.04648
cshaliziprediction classifiers algorithmic_fairness smyth.padhraic to_teach:data-mining in_NB re:codename:one_law_for_the_lion_and_ox_is_oppressionhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:9778e5e6bcab/[2105.02569] Machine Collaboration2021-05-10T22:48:51+00:00
https://arxiv.org/abs/2105.02569
cshalizito:NB ensemble_methods prediction re:democratic_cognition to_readhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:d3a50065611d/[2004.01378] Relaxing the Gaussian assumption in Shrinkage and SURE in high dimension2021-05-03T14:19:39+00:00
https://arxiv.org/abs/2004.01378
cshalizito:NB statistics prediction to_teach:childs_garden_of_statistical_learning_theory to_teach:linear_modelshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:734a23842520/Generalisability, prediction, and causation - Biased and Inefficient2021-05-03T13:25:03+00:00
https://notstatschat.rbind.io/2021/05/02/generalisability-prediction-and-causation/
cshaliziprediction regression causal_inference statistics lumley.thomashttps://pinboard.in/https://pinboard.in/u:cshalizi/b:23f90d1612b2/[2009.08071] Ridge Regression Revisited: Debiasing, Thresholding and Bootstrap2021-04-23T03:16:57+00:00
https://arxiv.org/abs/2009.08071
cshalizito:NB high-dimensional_statistics regression linear_regression politis.dmitris predictionhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:f0d53f495ea2/[1705.00395] Inverse Moment Methods for Sufficient Forecasting using High-Dimensional Predictors2021-04-22T15:22:57+00:00
https://arxiv.org/abs/1705.00395
cshalizito:NB prediction time_series factor_analysis dimension_reduction to_read re:your_favorite_dsge_suckshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:595aabfa2cb8/[1406.5362] Predicting the Future Behavior of a Time-Varying Probability Distribution2021-04-21T19:54:13+00:00
https://arxiv.org/abs/1406.5362
cshalizito:NB prediction probability hilbert_space nonparametrics re:AoS_projecthttps://pinboard.in/https://pinboard.in/u:cshalizi/b:aa1867d0c690/[1812.02984] Back to square one: probabilistic trajectory forecasting without bells and whistles2021-04-21T19:53:49+00:00
https://arxiv.org/abs/1812.02984
cshalizito:NB spatio-temporal_statistics predictionhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:2ef1b0724d5b/[1801.00507] MACRO: A Meta-Algorithm for Conditional Risk Minimization2021-04-21T15:24:18+00:00
https://arxiv.org/abs/1801.00507
cshaliziin_NB learning_theory prediction computational_statistics to_teach:childs_garden_of_statistical_learning_theoryhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:5a8413dc359b/Phys. Rev. E 103, L040301 (2021) - Precursors of the El Ni~no phenomenon: A climate network analysis2021-04-18T14:29:03+00:00
https://journals.aps.org/pre/abstract/10.1103/PhysRevE.103.L040301
cshaliziclimatology climate_networks time_series in_NB predictionhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:012699fa1d79/THE NO FREE LUNCH THEOREM: BAD NEWS FOR (WHITE'S ACCOUNT OF) THE PROBLEM OF INDUCTION | Episteme | Cambridge Core2021-04-14T20:07:17+00:00
https://www.cambridge.org/core/journals/episteme/article/no-free-lunch-theorem-bad-news-for-whites-account-of-the-problem-of-induction/BA0CE1B957FFA6FFDCB3B9110FFAED75
cshalizito:NB philosophy_of_science induction prediction probabilityhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:39ea622c6f47/[2103.08402] Valid sequential inference on probability forecast performance2021-04-12T03:18:34+00:00
https://arxiv.org/abs/2103.08402
cshalizito:NB prediction hypothesis_testinghttps://pinboard.in/https://pinboard.in/u:cshalizi/b:4b0ebfc8a677/[2103.11884] Using scoring functions to evaluate point process forecasts2021-04-12T03:16:56+00:00
https://arxiv.org/abs/2103.11884
cshalizito:NB prediction point_processes gneiting.tilmannhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:bb7a2f8d1547/[2010.09107] Conformal prediction interval for dynamic time-series2021-04-12T03:05:49+00:00
https://arxiv.org/abs/2010.09107
cshalizitime_series prediction conformal_prediction in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:f40d8da58c41/[2102.00577] Evaluation of point forecasts for extreme events using consistent scoring functions2021-04-12T03:02:51+00:00
https://arxiv.org/abs/2102.00577
cshalizito:NB prediction heavy_tailshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:e69021d176fa/Knowing what You Know: valid and validated confidence sets in multiclass and multilabel prediction2021-04-10T04:22:48+00:00
https://jmlr.org/papers/v22/20-753.html
cshalizito:NB prediction confidence_sets statisticshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:f38a1c021f31/D-separation, forecasting, and economic science: a conjecture | SpringerLink2021-04-05T14:55:39+00:00
https://link.springer.com/article/10.1007/s11238-012-9305-8
cshalizito:NB model_selection prediction causal_inference causal_discovery social_science_methodology econometrics macroeconomics re:your_favorite_dsge_sucks have_skimmedhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:80b199897417/[2103.05766] Interpretable Machines: Constructing Valid Prediction Intervals with Random Forests2021-03-21T18:40:32+00:00
https://arxiv.org/abs/2103.05766
cshalizito:NB confidence_sets prediction statistics random_forests ensemble_methods data_mining to_teach:data-mininghttps://pinboard.in/https://pinboard.in/u:cshalizi/b:fdba38e0badc/[2102.13625] Learning Prediction Intervals for Regression: Generalization and Calibration2021-03-15T05:09:58+00:00
https://arxiv.org/abs/2102.13625
cshalizito:NB confidence_sets prediction learning_theoryhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:5d9cccc31ddb/Barber , Candès , Ramdas , Tibshirani : Predictive inference with the jackknife+2021-02-04T15:29:48+00:00
https://projecteuclid.org/euclid.aos/1611889236
cshalizito:NB to_read prediction statistics kith_and_kin tibshirani.ryan ramdas.aaditya candes.emmanuel foygel_barber.rina confidence_sets to_teach:data-mininghttps://pinboard.in/https://pinboard.in/u:cshalizi/b:509e19ed13b0/