Pinboard (cshalizi) https://pinboard.in/u:cshalizi/public/ recent bookmarks from cshalizi 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/ [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/ 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/ [2402.13196] Practical Kernel Tests of Conditional Independence 2024-12-11T15:42:24+00:00 https://arxiv.org/abs/2402.13196 cshalizi to_read kernel_methods dependence_measures hypothesis_testing gretton.arthur in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:5170f8e5ed81/ 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/ [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/ [2211.01126] Likelihood-free hypothesis testing 2023-11-16T03:08:24+00:00 https://arxiv.org/abs/2211.01126 cshalizi to_read hypothesis_testing simulation-based_inference in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:bc904e157cbf/ [2310.16626] Scalable Causal Structure Learning via Amortized Conditional Independence Testing 2023-10-28T18:09:49+00:00 https://arxiv.org/abs/2310.16626 cshalizi to:NB hypothesis_testing causal_inference kith_and_kin ramdas.aaditya https://pinboard.in/ https://pinboard.in/u:cshalizi/b:750d79d0c649/ 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/ [2304.04183] Nearest-Neighbor Sampling Based Conditional Independence Testing 2023-04-27T14:48:56+00:00 https://arxiv.org/abs/2304.04183 cshalizi dependence_measures nearest_neighbors hypothesis_testing in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:35ae9f766e30/ Phys. Rev. E 62, 1912 (2000) - Symbolic approach for measuring temporal ``irreversibility'' 2023-04-24T21:59:54+00:00 https://journals.aps.org/pre/abstract/10.1103/PhysRevE.62.1912 cshalizi time_series statistical_inference_for_stochastic_processes symbolic_dynamics model_checking hypothesis_testing cleaning_out_the_filing_cabinet_for_the_first_time_since_2005 have_read to:NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:405b67266133/ [2206.08052] Likelihood ratio test for structural changes in factor models 2022-06-19T17:04:32+00:00 https://arxiv.org/abs/2206.08052 cshalizi to:NB factor_analysis change-point_problem hypothesis_testing time_series re:g_paper https://pinboard.in/ https://pinboard.in/u:cshalizi/b:244e00db99fd/ [2203.08089] On Suspicious Coincidences and Pointwise Mutual Information 2022-06-15T18:56:22+00:00 https://arxiv.org/abs/2203.08089 cshalizi to:NB likelihood hypothesis_testing information_theory https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1a4b2498b6a5/ Functional Estimation and Change Detection for Nonstationary Time Series: Journal of the American Statistical Association: Vol 0, No 0 2022-06-11T04:59:50+00:00 https://amstat.tandfonline.com/doi/full/10.1080/01621459.2021.1969239#.YqNL_uzMIZE cshalizi to:NB non-stationarity change-point_problem hypothesis_testing re:codename:catherine_wheel https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e517234d0ed3/ [2206.02765] Communication-constrained hypothesis testing: Optimality, robustness, and reverse data processing inequalities 2022-06-07T14:18:20+00:00 https://arxiv.org/abs/2206.02765 cshalizi to:NB hypothesis_testing information_theory distributed_systems via:mraginsky https://pinboard.in/ https://pinboard.in/u:cshalizi/b:d72c10f5aae3/ Incentive-Compatible Critical Values | NBER 2022-02-02T23:02:02+00:00 https://www.nber.org/papers/w29702 cshalizi to:NB hypothesis_testing science_as_a_social_process color_me_skeptical https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e5bd92d30af7/ Statistical Significance, p-Values, and the Reporting of Uncertainty - American Economic Association 2021-08-05T02:56:36+00:00 https://doi.org/10.1257/jep.35.3.157 cshalizi to:NB to_read statistics hypothesis_testing confidence_sets decision_theory https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e1aad5699696/ [2104.14676] Gaussian Universal Likelihood Ratio Testing 2021-05-30T21:08:43+00:00 https://arxiv.org/abs/2104.14676 cshalizi to:NB hypothesis_testing statistics kith_and_kin ramdas.aaditya balakrishnan.sivaraman wasserman.larry dunn.robin https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8ecc6c9bd8b2/ [2104.08279] Testing for Outliers with Conformal p-values 2021-04-21T15:02:37+00:00 https://arxiv.org/abs/2104.08279 cshalizi outlier_detection conformal_prediction hypothesis_testing in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a1a96f4211cf/ [2009.00503] Informative Goodness-of-Fit for Multivariate Distributions 2021-04-16T19:35:35+00:00 https://arxiv.org/abs/2009.00503 cshalizi to:NB goodness-of-fit hypothesis_testing density_estimation neyman_smooth_tests model_checking re:ADAfaEPoV to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:7de4c3ae2a11/ A Review of Empirical Likelihood | Annual Review of Statistics and Its Application 2021-04-15T14:57:59+00:00 https://www.annualreviews.org/doi/abs/10.1146/annurev-statistics-040720-024710 cshalizi empirical_likelihood likelihood hypothesis_testing estimation statistics lazar.nicole in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9fb214584349/ [2104.03167] Random graphs with node and block effects: models, goodness-of-fit tests, and applications to biological networks 2021-04-12T17:06:07+00:00 https://arxiv.org/abs/2104.03167 cshalizi to:NB stochastic_block_models network_data_analysis estimation exponential_family_random_graphs hypothesis_testing algebraic_statistics goodness-of-fit https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3dc0c1b71041/ [2103.08402] Valid sequential inference on probability forecast performance 2021-04-12T03:18:34+00:00 https://arxiv.org/abs/2103.08402 cshalizi prediction hypothesis_testing scoring_rules in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4b0ebfc8a677/ Distributed Chernoff Test: Optimal Decision Systems Over Networks | IEEE Journals & Magazine | IEEE Xplore 2021-04-10T04:26:10+00:00 https://ieeexplore.ieee.org/document/9301324 cshalizi to:NB hypothesis_testing distributed_systems https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3224565c072d/ On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests 2021-04-10T04:21:42+00:00 https://jmlr.org/papers/v22/17-570.html cshalizi to:NB statistics kernel_methods hilbert_space goodness-of-fit hypothesis_testing minimax https://pinboard.in/ https://pinboard.in/u:cshalizi/b:48eed823ffac/ Universal inference | PNAS 2021-04-09T19:07:06+00:00 https://www.pnas.org/content/117/29/16880.short cshalizi to:NB have_read hypothesis_testing confidence_sets statistics kith_and_kin wasserman.larry ramdas.aaditya to_teach:undergrad-ADA re:HEAS balakrishnan.sivaraman https://pinboard.in/ https://pinboard.in/u:cshalizi/b:5825e245a7b6/ On testing marginal versus conditional independence | Biometrika | Oxford Academic 2021-03-16T17:24:01+00:00 https://academic.oup.com/biomet/article-abstract/107/4/771/5875781 cshalizi to:NB to_read hypothesis_testing dependence_measures richardson.thomas statistics via:richardson.thomas model_selection https://pinboard.in/ https://pinboard.in/u:cshalizi/b:d80a74e1eea1/ Kim , Ramdas , Singh , Wasserman : Classification accuracy as a proxy for two-sample testing 2021-02-04T15:31:39+00:00 https://projecteuclid.org/euclid.aos/1611889233 cshalizi0ϵ>0 as d,n→∞d,n→∞, then (a) the permutation-based test is consistent (has power approaching to one), (b) a computationally efficient test based on a Gaussian approximation of the null distribution is also consistent. To get a finer understanding of the rates of consistency, we study a specialized setting of distinguishing Gaussians with mean-difference δδ and common (known or unknown) covariance ΣΣ, when d/n→c∈(0,∞)d/n→c∈(0,∞). We study variants of Fisher’s linear discriminant analysis (LDA) such as “naive Bayes” in a nontrivial regime when ϵ→0ϵ→0 (the Bayes classifier has true accuracy approaching 1/2), and contrast their power with corresponding variants of Hotelling’s test. Surprisingly, the expressions for their power match exactly in terms of nn, dd, δδ, ΣΣ, and the LDA approach is only worse by a constant factor, achieving an asymptotic relative efficiency (ARE) of 1/π‾‾√1/π for balanced samples. We also extend our results to high-dimensional elliptical distributions with finite kurtosis. Other results of independent interest include minimax lower bounds, and the optimality of Hotelling’s test when d=o(n)d=o(n). Simulation results validate our theory, and we present practical takeaway messages along with natural open problems."]]> to:NB hypothesis_testing two-sample_tests classifiers high-dimensional_statistics heard_the_talk kith_and_kin singh.aarti wasserman.larry ramdas.aaditya https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9a8de542290c/ [1912.03662] The Binary Expansion Randomized Ensemble Test (BERET) 2021-01-11T16:30:45+00:00 https://arxiv.org/abs/1912.03662 cshalizi to:NB dependence_measures random_projections hypothesis_testing independence_and_condtional_independence_testing https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3eb4f7e10b8e/ [2012.14530] On the T-test 2021-01-03T20:07:48+00:00 https://arxiv.org/abs/2012.14530 cshalizi to:NB probability hypothesis_testing to_teach:linear_models central_limit_theorem have_skimmed https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e8e6341bc967/ Duan , Ramdas , Balakrishnan , Wasserman : Interactive martingale tests for the global null 2021-01-03T19:46:24+00:00 https://projecteuclid.org/euclid.ejs/1609384079 cshalizi to:NB hypothesis_testing kith_and_kin wasserman.larry ramdas.aaditya balakrishnan.sivaraman martingales https://pinboard.in/ https://pinboard.in/u:cshalizi/b:eb736278718f/ Gao , Ma : Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing 2020-12-21T14:11:01+00:00 https://projecteuclid.org/euclid.ss/1608541216 cshalizi to:NB network_data_analysis graph_limits hypothesis_testing minimax nonparametrics re:smoothing_adjacency_matrices community_discovery to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4146f1114577/ Combining p-values via averaging | Biometrika | Oxford Academic 2020-12-17T01:40:44+00:00 https://academic.oup.com/biomet/article-abstract/107/4/791/5856302?redirectedFrom=fulltext cshalizi to:NB multiple_testing meta-analysis hypothesis_testing statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:29adc59c22f3/ Neutral syndrome | Nature Human Behaviour 2020-12-15T15:17:10+00:00 https://www.nature.com/articles/s41562-020-0844-7 cshalizi to:NB to_read neutral_models social_science_methodology hypothesis_testing via:rvenkat evolution https://pinboard.in/ https://pinboard.in/u:cshalizi/b:68bbd7f3fb0f/ [2002.10399] Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting 2020-12-13T23:29:48+00:00 https://arxiv.org/abs/2002.10399 cshalizi have_read heard_the_talk approved_the_thesis_proposal simulation-based_inference lee.ann_b. izbicki.rafael dalmasso.niccolo statistics confidence_sets hypothesis_testing in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f4683e889416/ [2012.05784] Detecting Structured Signals in Ising Models 2020-12-12T19:58:07+00:00 https://arxiv.org/abs/2012.05784 cshalizi to:NB ising_model hypothesis_testing random_fields https://pinboard.in/ https://pinboard.in/u:cshalizi/b:aca767ba90f5/ Karmakar , Small : Assessment of the extent of corroboration of an elaborate theory of a causal hypothesis using partial conjunctions of evidence factors 2020-12-11T17:32:24+00:00 https://projecteuclid.org/euclid.aos/1607677236 cshalizi to:NB causal_inference statistics hypothesis_testing model_checking small.dylan https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1f0374e8b6e0/ Robust discrimination between long‐range dependence and a change in mean - Gerstenberger - 2021 - Journal of Time Series Analysis - Wiley Online Library 2020-12-10T12:23:25+00:00 https://doi.org/10.1111/jtsa.12554 cshalizi to:NB time_series change-point_problem long-range_dependence statistics hypothesis_testing https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8d49b1722b99/ [2007.04727] Supplemental Studies for Simultaneous Goodness-of-Fit Testing 2020-12-07T15:28:30+00:00 https://arxiv.org/abs/2007.04727 cshalizi to:NB hypothesis_testing multiple_testing goodness-of-fit statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:49a48e200b24/ [2009.09440] The Significance Filter, the Winner's Curse and the Need to Shrink 2020-12-07T04:45:41+00:00 https://arxiv.org/abs/2009.09440 cshalizi to:NB meta-analysis hypothesis_testing via:? https://pinboard.in/ https://pinboard.in/u:cshalizi/b:afaca6b1e98e/ [1809.04587] Distributed Chernoff Test: Optimal decision systems over networks 2020-11-30T03:52:01+00:00 https://arxiv.org/abs/1809.04587 cshalizi to:NB hypothesis_testing distributed_systems active_learning experimental_design statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c4ddfaccc30b/ [1903.11117] Testing for Differences in Stochastic Network Structure 2020-11-25T14:52:28+00:00 https://arxiv.org/abs/1903.11117 cshalizi to:NB network_data_analysis re:network_differences two-sample_tests hypothesis_testing to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ba62b7e5b0dc/ [2008.03971] A Note on Likelihood Ratio Tests for Models with Latent Variables 2020-11-25T14:35:28+00:00 https://arxiv.org/abs/2008.03971 cshalizi to:NB factor_analysis mixture_models inference_to_latent_objects hypothesis_testing likelihood statistics re:HEAS https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4d387d3303d2/ Statistical Significance | Annual Review of Statistics and Its Application 2020-11-19T20:03:23+00:00 https://www.annualreviews.org/doi/abs/10.1146/annurev-statistics-031219-041051 cshalizi to:NB statistics hypothesis_testing goodness-of-fit cox.d.r. to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:cf10bd385748/ Fauß , Zoubir , Poor : Minimax optimal sequential hypothesis tests for Markov processes 2020-11-19T05:30:29+00:00 https://projecteuclid.org/euclid.aos/1600480925 cshalizi to:NB hypothesis_testing markov_models stochastic_processes statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:db42efc7de75/ Shah , Peters : The hardness of conditional independence testing and the generalised covariance measure 2020-11-18T21:50:00+00:00 https://projecteuclid.org/euclid.aos/1594972828 cshalizi to:NB dependence_measures hypothesis_testing causal_discovery statistics peters.jonas independence_and_conditional_independence_testing https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9081e4cded17/ Testing Ising Models - IEEE Journals & Magazine 2020-11-16T17:00:33+00:00 https://ieeexplore.ieee.org/document/8782628 cshalizi to:NB random_fields hypothesis_testing statistics ising_model https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f131bb3148ca/ Semidefinite Tests for Latent Causal Structures - IEEE Journals & Magazine 2020-11-16T16:04:42+00:00 https://ieeexplore.ieee.org/document/8804234 cshalizi to:NB causal_discovery graphical_models statistics hypothesis_testing inference_to_latent_objects https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9caefd16483a/ Clustering with statistical error control - Vogt - - Scandinavian Journal of Statistics - Wiley Online Library 2020-11-15T20:51:15+00:00 https://doi.org/10.1111/sjos.12450 cshalizi to:NB clustering hypothesis_testing statistics to_read to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c79397a7e54a/ Systematic review of the use of “magnitude-based inference” in sports science and medicine 2020-07-13T16:43:55+00:00 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0235318 cshalizi to:NB have_read bad_data_analysis statistics why_oh_why_cant_we_have_a_better_academic_publishing_system hypothesis_testing estimation trapped_in_plutos_republic https://pinboard.in/ https://pinboard.in/u:cshalizi/b:47bc87dbe9e7/ Empirical Likelihood Methods in Econometrics: Theory and Practice by Yuichi Kitamura :: SSRN 2020-05-16T18:01:29+00:00 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=917901 cshalizi to:NB statistics estimation hypothesis_testing likelihood empirical_likelihood large_deviations re:HEAS https://pinboard.in/ https://pinboard.in/u:cshalizi/b:d0c1ac40de03/ Model selection tests for nonlinear dynamic models | The Econometrics Journal | Oxford Academic 2020-05-16T18:00:25+00:00 https://doi.org/10.1111/1368-423X.t01-1-00071 cshalizi have_read to_reread model_selection hypothesis_testing statistics misspecification time_series statistical_inference_for_stochastic_processes vuong.quang to_teach:data_over_space_and_time re:HEAS in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:513c1caa4d37/ [2001.03039] Minimax Optimal Conditional Independence Testing 2020-01-30T23:50:41+00:00 https://arxiv.org/abs/2001.03039 cshalizi to:NB kith_and_kin dependence_measures hypothesis_testing statistics wasserman.larry neykov.matey balakrishnan.sivaraman https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e2ba29bee637/ Anonymous Heterogeneous Distributed Detection: Optimal Decision Rules, Error Exponents, and the Price of Anonymity - IEEE Journals & Magazine 2019-10-24T14:29:16+00:00 https://ieeexplore.ieee.org/document/8736279 cshalizi to:NB hypothesis_testing distributed_systems statistics information_theory https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1c2d0aec4d4a/ [1910.08883] The Exact Equivalence of Independence Testing and Two-Sample Testing 2019-10-22T13:44:52+00:00 https://arxiv.org/abs/1910.08883 cshalizi to:NB two-sample_tests dependence_measures statistics hypothesis_testing https://pinboard.in/ https://pinboard.in/u:cshalizi/b:348b88959e6d/ The conditional permutation test for independence while controlling for confounders - Berrett - - Journal of the Royal Statistical Society: Series B (Statistical Methodology) - Wiley Online Library 2019-10-22T13:28:01+00:00 https://rss.onlinelibrary.wiley.com/doi/full/10.1111/rssb.12340 cshalizi to:NB dependence_measures hypothesis_testing statistics samworth.richard_j. https://pinboard.in/ https://pinboard.in/u:cshalizi/b:af2e30e28e98/ [1910.01692] Algebraic statistics, tables, and networks: The Fienberg advantage 2019-10-11T22:17:53+00:00 https://arxiv.org/abs/1910.01692 cshalizi to:NB statistics network_data_analysis hypothesis_testing fienberg.stephen_e. https://pinboard.in/ https://pinboard.in/u:cshalizi/b:dd3a575c9e7c/ [1909.13031] Nonzero-sum Adversarial Hypothesis Testing Games 2019-10-01T17:13:55+00:00 https://arxiv.org/abs/1909.13031 cshalizi to:NB low-regret_learning hypothesis_testing statistics information_theory https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a6d033616ec5/ [1909.13464] Network Differential Connectivity Analysis 2019-10-01T16:17:41+00:00 https://arxiv.org/abs/1909.13464 cshalizi to:NB network_data_analysis hypothesis_testing two-sample_tests statistics re:network_differences https://pinboard.in/ https://pinboard.in/u:cshalizi/b:612fcc0d1d37/ [1902.00080] Minimax Testing of Identity to a Reference Ergodic Markov Chain 2019-09-26T18:19:59+00:00 https://arxiv.org/abs/1902.00080 cshalizi to:NB time_series markov_models hypothesis_testing goodness-of-fit kontorovich.aryeh kith_and_kin minimax https://pinboard.in/ https://pinboard.in/u:cshalizi/b:da3ba3029e00/ [1904.04052] Practical tests for significance in Markov Chains 2019-09-15T14:47:32+00:00 https://arxiv.org/abs/1904.04052 cshalizi to:NB markov_models hypothesis_testing anomaly_detection color_me_skeptical https://pinboard.in/ https://pinboard.in/u:cshalizi/b:0f4e495420df/ [1909.03302] On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives 2019-09-15T14:35:28+00:00 https://arxiv.org/abs/1909.03302 cshalizi to:NB kernel_methods hilbert_space goodness-of-fit hypothesis_testing statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3f7d02a8db5b/ [1902.06441] Aggregated test of independence based on HSIC measures 2019-08-30T20:15:21+00:00 https://arxiv.org/abs/1902.06441 cshalizi to:NB dependence_measures hypothesis_testing statistics hilbert_space minimax https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c57bbe81672d/ Testing Sparsity-Inducing Penalties: Journal of Computational and Graphical Statistics: Vol 0, No 0 2019-08-20T16:07:38+00:00 https://amstat.tandfonline.com/doi/full/10.1080/10618600.2019.1637749 cshalizi to:NB model_checking sparsity regression hypothesis_testing bayesianism re:phil-of-bayes_paper hoff.peter to_besh https://pinboard.in/ https://pinboard.in/u:cshalizi/b:aaba8d8a838f/ [1908.06486] A Consistent Independence Test for Multivariate Time-Series 2019-08-20T15:32:37+00:00 https://arxiv.org/abs/1908.06486 cshalizi to:NB dependence_measures time_series hypothesis_testing statistics to_teach:data_over_space_and_time https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f68eefa3e6d6/ Nonparametric independence testing via mutual information | Biometrika | Oxford Academic 2019-08-14T19:14:17+00:00 https://academic.oup.com/biomet/article/106/3/547/5511208?rss=1 cshalizi to:NB dependence_measures hypothesis_testing information_theory statistics entropy_estimation samworth.richard_j. https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b5d546c7c070/ [1906.06615] Detecting new signals under background mismodelling 2019-08-09T13:37:39+00:00 https://arxiv.org/abs/1906.06615 cshalizi to:NB anomaly_detection hypothesis_testing physics particle_physics statistics misspecification https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e14915d272b7/ Non-Standard Parametric Statistical Inference - Russell Cheng - Oxford University Press 2019-08-05T18:37:11+00:00 https://global.oup.com/academic/product/non-standard-parametric-statistical-inference-9780198505044?cc=us&lang=en# cshalizi to:NB bootstrap estimation hypothesis_testing statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3db28c9164d7/ [1907.07582] Testing for Unobserved Heterogeneity via k-means Clustering 2019-07-18T10:55:01+00:00 https://arxiv.org/abs/1907.07582 cshalizi hypothesis_testing model_selection model_checking clustering statistics in_NB time_series have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1cda8c06d404/