Pinboard (cshalizi) https://pinboard.in/u:cshalizi/public/ recent bookmarks from cshalizi [2601.15500] Low-Dimensional Adaptation of Rectified Flow: A Diffusion and Stochastic Localization Perspective 2026-02-17T15:59:02+00:00 https://arxiv.org/abs/2601.15500 cshalizi to:NB density_estimation computational_statistics rinaldo.alessandro monte_carlo https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3c3e3819ffd2/ High-Order Flow Matching: Unified Framework and Sharp Statistical Rates | OpenReview 2026-01-30T12:12:17+00:00 https://openreview.net/forum?id=ib0aV2hphN cshalizi to:NB density_estimation neural_networks nonparametrics liu.han https://pinboard.in/ https://pinboard.in/u:cshalizi/b:5033f0d08de2/ [2510.03994] Optimal estimation of a factorizable density using diffusion models with ReLU neural networks 2026-01-30T12:08:15+00:00 https://arxiv.org/abs/2510.03994 cshalizi to:NB factor_analysis density_estimation generative_diffusion_models fan.jianqing https://pinboard.in/ https://pinboard.in/u:cshalizi/b:894249e6215f/ [1503.03585] Deep Unsupervised Learning using Nonequilibrium Thermodynamics 2025-04-10T18:40:59+00:00 https://arxiv.org/abs/1503.03585 cshalizi density_estimation stochastic_processes generative_diffusion_models in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:053e927a1129/ Kernel density estimation via diffusion 2025-04-10T18:38:48+00:00 https://projecteuclid.org/journals/annals-of-statistics/volume-38/issue-5/Kernel-density-estimation-via-diffusion/10.1214/10-AOS799.full cshalizi density_estimation generative_diffusion_models in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:557950fb7241/ [2408.05807] Kernel Density Estimators in Large Dimensions 2025-04-10T18:37:32+00:00 https://arxiv.org/abs/2408.05807 cshalizi density_estimation high-dimensional_statistics mezard.marc in_NB kernel_smoothing of_course_its_really_a_spin_glass have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:0591313c3f4a/ Deep data density estimation through Donsker-Varadhan representation | Annals of Mathematics and Artificial Intelligence 2025-03-29T14:34:34+00:00 https://link.springer.com/article/10.1007/s10472-024-09943-9 cshalizi density_estimation information_theory optimization neural_networks in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f7f2b2cd009b/ Information-Theoretic Diffusion | OpenReview 2025-03-10T14:39:50+00:00 https://openreview.net/forum?id=UvmDCdSPDOW cshalizi density_estimation information_theory neural_networks ver_steeg.greg tab_closure generative_diffusion_models in_NB have_read to_teach:statistics_and_generative_ai https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9889cc2216d2/ Minimax rates for conditional density estimation via empirical entropy 2024-03-05T14:57:19+00:00 https://projecteuclid.org/journals/annals-of-statistics/volume-51/issue-2/Minimax-rates-for-conditional-density-estimation-via-empirical-entropy/10.1214/23-AOS2270.short cshalizi in_NB density_estimation learning_theory via:mraginsky https://pinboard.in/ https://pinboard.in/u:cshalizi/b:0416eeb58e24/ Journal of Open Source Software: haldensify: Highly adaptive lasso conditional density estimation in R 2022-12-09T20:04:28+00:00 https://joss.theoj.org/papers/10.21105/joss.04522 cshalizi density_estimation R lasso sparsity van_der_laan.mark in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:d6b76808e7da/ [2110.04227] Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows 2022-10-07T19:51:20+00:00 https://arxiv.org/abs/2110.04227 cshalizi to:NB neural_networks manifold_learning density_estimation re:codename:catherine_wheel via:mraginsky https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f108585bf0eb/ Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach | NBER 2022-07-09T19:00:12+00:00 https://www.nber.org/papers/w5093 cshalizi to:NB density_estimation inequality class_struggles_in_america via:donsker_class to_teach:statistics_of_inequality_and_discrimination https://pinboard.in/ https://pinboard.in/u:cshalizi/b:113ebd1f78bd/ Inference on Counterfactual Distributions - Chernozhukov - 2013 - Econometrica - Wiley Online Library 2022-07-09T18:58:01+00:00 https://onlinelibrary.wiley.com/doi/abs/10.3982/ECTA10582?casa_token=RYQGxAm5NPsAAAAA:Gjw9Whp2sT1TTcF-EurC9U-K98m8jQ6Z1Tl6-PTOVvOZYU9vgik8XniEBql7ru0bqZ7U8aepTqF3 cshalizi to:NB 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:4147b5ca4a38/ [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/ Minimax Density Estimation for Growing Dimension 2021-11-09T03:13:44+00:00 http://proceedings.mlr.press/v54/mcdonald17a.html cshalizi statistics density_estimation high-dimensional_statistics mcdonald.daniel_j. kith_and_kin re:codename:catherine_wheel in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b8a2c6690f89/ [2107.04118] OCDE: Odds Conditional Density Estimator 2021-07-12T15:19:29+00:00 https://arxiv.org/abs/2107.04118 cshalizi to:NB density_estimation statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:6910b7ae2a5b/ [2007.06408] Strong Uniform Consistency with Rates for Kernel Density Estimators with General Kernels on Manifolds 2021-06-10T02:23:17+00:00 https://arxiv.org/abs/2007.06408 cshalizi to:NB density_estimation statistics_on_manifolds statistics kernel_smoothing https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3b782998da81/ [2105.13010] An error analysis of generative adversarial networks for learning distributions 2021-06-07T03:58:50+00:00 https://arxiv.org/abs/2105.13010 cshalizi to:NB density_estimation your_favorite_deep_neural_network_sucks statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1e57947289bd/ [2005.14458] Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression 2021-06-01T17:33:18+00:00 https://arxiv.org/abs/2005.14458 cshalizi to:NB density_estimation random_fields buhlmann.peter ensemble_methods statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:35774f99f672/ [2101.11083] Tree boosting for learning probability measures 2021-05-30T21:09:35+00:00 https://arxiv.org/abs/2101.11083 cshalizi to:NB ensemble_methods density_estimation statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1d7502cf7e69/ [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/ [2102.00199] Rates of convergence for density estimation with GANs 2021-03-15T06:16:36+00:00 https://arxiv.org/abs/2102.00199 cshalizid/2."]]> to:NB density_estimation neural_networks https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f052477a36d3/ [2012.14482] Multivariate Smoothing via the Fourier Integral Theorem and Fourier Kernel 2021-01-03T20:13:12+00:00 https://arxiv.org/abs/2012.14482 cshalizi to:NB fourier_analysis smoothing computational_statistics density_estimation nonparametrics regression statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:7b370340cb7a/ [2012.02385] Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models 2020-12-07T14:49:20+00:00 https://arxiv.org/abs/2012.02385 cshalizi to:NB mixture_models density_estimation statistics conditional_density_estimation cluster-weighted_modeling https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3e191cdc089c/ Parametric versus nonparametric: The fitness coefficient - Mazo - - Scandinavian Journal of Statistics - Wiley Online Library 2020-11-15T20:54:34+00:00 https://doi.org/10.1111/sjos.12495 cshalizi to:NB density_estimation misspecification statistics re:ADAfaEPoV https://pinboard.in/ https://pinboard.in/u:cshalizi/b:302f5f93d218/ [1905.11255] Kernel Conditional Density Operators 2019-10-30T13:42:33+00:00 https://arxiv.org/abs/1905.11255 cshalizi to:NB kernel_estimators hilbert_space density_estimation statistics to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1e1457dd1023/ [1906.01235] Universal Boosting Variational Inference 2019-10-29T02:18:39+00:00 https://arxiv.org/abs/1906.01235 cshalizi to:NB density_estimation probability ensemble_methods computational_statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:68d19002e973/ [1910.08477] Density estimation on an unknown submanifold 2019-10-21T15:51:21+00:00 https://arxiv.org/abs/1910.08477 cshalizi to:NB density_estimation statistics_on_manifolds statistics nonparametrics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:5cf29a2b288f/ Fused density estimation: theory and methods - Bassett - - Journal of the Royal Statistical Society: Series B (Statistical Methodology) - Wiley Online Library 2019-09-25T03:29:39+00:00 https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/rssb.12338?af=R cshalizi to:NB density_estimation statistics sharpnack.james https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9baed568cb4d/ [1902.02408] Weak consistency of the 1-nearest neighbor measure with applications to missing data 2019-09-15T14:34:32+00:00 https://arxiv.org/abs/1902.02408 cshalizi to:NB missing_data density_estimation statistics sharpnack.james re:ADAfaEPoV https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1e183076dff4/ [1909.03681] Outlier Detection in High Dimensional Data 2019-09-15T14:24:42+00:00 https://arxiv.org/abs/1909.03681 cshalizi to:NB anomaly_detection density_estimation principal_components high-dimensional_statistics statistics to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c4ca0118845f/ [1909.02662] Block bootstrap optimality for density estimation with dependent data 2019-09-09T03:48:14+00:00 https://arxiv.org/abs/1909.02662 cshalizi to:NB bootstrap time_series density_estimation statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3a0b7b2a417e/ Devroye , Reddad : Discrete minimax estimation with trees 2019-08-21T13:25:41+00:00 https://projecteuclid.org/euclid.ejs/1565748200 cshalizi to:NB density_estimation devroye.luc minimax nonparametrics statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c8785a772707/ [1708.05254] Adaptive Clustering Using Kernel Density Estimators 2019-08-20T15:34:14+00:00 https://arxiv.org/abs/1708.05254 cshalizi to:NB density_estimation clustering statistics kernel_smoothing https://pinboard.in/ https://pinboard.in/u:cshalizi/b:360ad9210178/ [1908.06081] Analyzing the Fine Structure of Distributions 2019-08-20T15:29:50+00:00 https://arxiv.org/abs/1908.06081 cshalizi to:NB visual_display_of_quantitative_information density_estimation statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8c6b9fda1aed/ [1907.13630] Kernel Density Estimation for Undirected Dyadic Data 2019-08-02T15:20:07+00:00 https://arxiv.org/abs/1907.13630 cshalizi to:NB density_estimation network_data_analysis nonparametrics kernel_methods re:smoothing_adjacency_matrices https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9f0623d7f460/ Nonparametric Estimation of Multivariate Mixtures: Journal of the American Statistical Association: Vol 0, No 0 2019-07-24T13:58:40+00:00 https://www.tandfonline.com/doi/full/10.1080/01621459.2019.1635481 cshalizi to:NB mixture_models density_estimation statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4b7ea0082b97/ Cheng , Chen : Nonparametric inference via bootstrapping the debiased estimator 2019-07-04T09:44:55+00:00 https://projecteuclid.org/euclid.ejs/1561687408 cshalizi to:NB to_read statistics bootstrap confidence_sets regression density_estimation re:ADAfaEPoV https://pinboard.in/ https://pinboard.in/u:cshalizi/b:25365e040388/ [1906.07177] (f)RFCDE: Random Forests for Conditional Density Estimation and Functional Data 2019-06-19T15:33:10+00:00 https://arxiv.org/abs/1906.07177 cshalizi to:NB ensemble_methods regression density_estimation statistics kith_and_kin decision_trees lee.ann_b. random_forests https://pinboard.in/ https://pinboard.in/u:cshalizi/b:7a354f01b8c9/ [1903.00954] Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks 2019-04-11T00:41:49+00:00 https://arxiv.org/abs/1903.00954 cshalizi to:NB neural_networks density_estimation statistics nonparametrics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:60fc041c5678/ Multivariate Density Estimation | Wiley Series in Probability and Statistics 2019-01-07T17:29:39+00:00 https://onlinelibrary.wiley.com/doi/book/10.1002/9781118575574 cshalizi to:NB books:noted downloaded smoothing density_estimation statistics nonparametrics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:273d88198929/ Parzen : On Estimation of a Probability Density Function and Mode 2018-09-08T18:47:34+00:00 https://projecteuclid.org/euclid.aoms/1177704472 cshalizi to:NB statistics density_estimation have_read parzen.emanuel re:ADAfaEPoV https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c53e99585c16/ Rosenblatt : Remarks on Some Nonparametric Estimates of a Density Function (1956) 2018-09-08T18:44:03+00:00 https://projecteuclid.org/euclid.aoms/1177728190#abstract cshalizi statistics density_estimation have_read rosenblatt.murray re:ADAfaEPoV in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:564688c73e60/ Density Estimation in Infinite Dimensional Exponential Families 2018-07-23T16:10:55+00:00 http://www.jmlr.org/papers/v18/16-011.html cshalizi density_estimation exponential_families statistics via:? in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:96131f032145/ Boosting conditional probability estimators | SpringerLink 2018-05-23T13:08:22+00:00 https://link.springer.com/article/10.1007/s10472-015-9465-7 cshalizi pairs are sampled independently from some underlying distribution. This distribution induces a conditional probability over the labels given an instance, and our goal in this paper is to learn this conditional distribution. Since even unconditional densities are quite challenging to learn, we give our learner access to pairs. Assuming a base learner oracle in this model, we might seek a boosting algorithm for constructing a strong learner. Unfortunately, without further assumptions, this is provably impossible. However, we give a new boosting algorithm that succeeds in the following sense: given a base learner guaranteed to achieve some average accuracy (i.e., risk), we efficiently construct a learner that achieves the same level of accuracy with arbitrarily high probability. We give generalization guarantees of several different kinds, including distribution-free accuracy and risk bounds. None of our estimates depend on the number of boosting rounds and some of them admit dimension-free formulations."]]> to:NB boosting density_estimation kith_and_kin kontorovich.aryeh statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:38c8f51c7430/ Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities | Neural Computation | MIT Press Journals 2018-01-24T23:29:28+00:00 https://www.mitpressjournals.org/doi/abs/10.1162/neco_a_01035 cshalizi to:NB dimension_reduction sufficiency density_estimation linear_regression statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:15bf571a5ee2/ Robust Conditional Probabilities 2017-11-24T18:33:30+00:00 http://papers.nips.cc/paper/7215-robust-conditional-probabilities cshalizi to:NB statistics density_estimation probability https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b6545c819d4c/ The power of absolute discounting: all-dimensional distribution estimation 2017-11-24T18:32:40+00:00 http://papers.nips.cc/paper/7243-the-power-of-absolute-discounting-all-dimensional-distribution-estimation cshalizi to:NB to_read density_estimation statistics heavy_tails https://pinboard.in/ https://pinboard.in/u:cshalizi/b:5b8bf70af9f2/ Lectures on the Nearest Neighbor Method | SpringerLink 2017-08-25T23:52:03+00:00 https://link.springer.com/book/10.1007%2F978-3-319-25388-6 cshalizi books:noted nearest-neighbors density_estimation regression classifiers statistics devroye.luc biau.gerard nonparametrics re:ADAfaEPoV entropy_estimation in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b3e8daedeae4/ Online Reinforcement Learning Using a Probability Density Estimation | Neural Computation | MIT Press Journals 2017-01-17T13:23:30+00:00 http://www.mitpressjournals.org/doi/abs/10.1162/NECO_a_00906 cshalizi to:NB online_learning density_estimation statistics reinforcement_learning https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e05b3a828630/ [1602.00531] Adaptive non-parametric estimation in the presence of dependence 2016-02-08T21:30:35+00:00 http://arxiv.org/abs/1602.00531 cshalizi to:NB statistics regression nonparametrics learning_under_dependence density_estimation dimension_reduction https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b9b529946e46/ [1506.04513] Convex Risk Minimization and Conditional Probability Estimation 2015-07-14T09:40:20+00:00 http://arxiv.org/abs/1506.04513 cshalizi to:NB learning_theory statistics density_estimation re:AoS_project to_teach:childs_garden_of_statistical_learning_theory https://pinboard.in/ https://pinboard.in/u:cshalizi/b:6897d617cff8/ Chernozhukov , Chetverikov , Kato : Anti-concentration and honest, adaptive confidence bands 2015-02-13T18:31:05+00:00 http://projecteuclid.org/euclid.aos/1410440625 cshalizi confidence_sets bootstrap density_estimation nonparametrics statistics regression to_read re:ADAfaEPoV in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:033f56a445d2/ Silverman : Spline Smoothing: The Equivalent Variable Kernel Method 2015-02-13T17:31:01+00:00 http://projecteuclid.org/euclid.aos/1176346710 cshalizi have_read splines nonparametrics regression density_estimation statistics in_NB silverman.bernard kernel_smoothing https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b14f5c1bbcbe/ Crisan , Míguez : Particle-kernel estimation of the filter density in state-space models 2015-01-24T14:11:26+00:00 http://projecteuclid.org/euclid.bj/1411134448 cshalizi particle_filters density_estimation filtering state_estimation state-space_models statistics computational_statistics in_NB kernel_smoothing https://pinboard.in/ https://pinboard.in/u:cshalizi/b:77a953685926/ [1412.1716] Nonparametric Modal Regression 2015-01-19T23:59:14+00:00 http://arxiv.org/abs/1412.1716 cshalizi to:NB regression density_estimation nonparametrics statistics kith_and_kin genovese.chris wasserman.larry tibshirani.ryan https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8f1f692d6d42/ [1411.4040] Kernel Density Estimation on Symmetric Spaces 2014-11-25T18:14:28+00:00 http://arxiv.org/abs/1411.4040 cshalizi density_estimation statistics nonparametrics kith_and_kin asta.dena statistics_on_manifolds in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1fc8ccff90b9/ [1307.7760] Geometric Inference on Kernel Density Estimates 2014-10-16T15:14:17+00:00 http://arxiv.org/abs/1307.7760 cshalizi to:NB geometry density_estimation statistics computational_statistics have_read kernel_smoothing https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e25e972c1a2d/ Quality and efficiency for kernel density estimates in large data 2014-10-16T15:10:26+00:00 http://dl.acm.org/citation.cfm?id=2465319 cshalizi computational_statistics statistics density_estimation to_teach:statcomp to_teach:undergrad-ADA have_read kernel_smoothing in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:72a4e0a4dfd5/ [0907.0199] High-Dimensional Density Estimation via SCA: An Example in the Modelling of Hurricane Tracks 2014-04-22T15:55:22+00:00 http://arxiv.org/abs/0907.0199 cshalizi to_read heard_the_talk kith_and_kin dimension_reduction buchman.susan high-dimensional_statistics density_estimation meteorology hurricanes diffusion_maps entableted in_NB lee.ann_b. https://pinboard.in/ https://pinboard.in/u:cshalizi/b:feaeb1982195/ High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation | AISTATS 2014 | JMLR W&CP 2014-04-20T17:52:35+00:00 http://jmlr.org/proceedings/papers/v33/izbicki14.html cshalizi density_estimation density_ratio_estimation likelihood spectral_methods high-dimensional_statistics kith_and_kin izbicki.rafael read_the_thesis in_NB lee.ann_b. https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4b615eab616e/ [1402.3466] Kernel density estimates in particle filter 2014-03-08T22:39:09+00:00 http://arxiv.org/abs/1402.3466 cshalizi to:NB density_estimation particle_filters filtering statistics kernel_smoothing https://pinboard.in/ https://pinboard.in/u:cshalizi/b:dfbfe8acfb74/ [1402.2966] Nonparametric Estimation of Renyi Divergence and Friends 2014-02-13T18:22:38+00:00 http://arxiv.org/abs/1402.2966 cshalizid/4 is necessary to achieve the n−1/2 rate of convergence. We confirm our theoretical guarantees with a number of simulations."]]> information_theory density_estimation divergence_estimation kith_and_kin entropy_estimation in_NB wasserman.larry poczos.barnabas https://pinboard.in/ https://pinboard.in/u:cshalizi/b:99cbe70c5261/ [1312.1099] Multiscale Dictionary Learning for Estimating Conditional Distributions 2014-01-02T17:57:15+00:00 http://arxiv.org/abs/1312.1099 cshalizi to:NB density_estimation conditional_density_estimation nonparametrics statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:790d60c2999c/ [1311.4780] Asymptotically Exact, Embarrassingly Parallel MCMC 2013-12-18T15:17:41+00:00 http://arxiv.org/abs/1311.4780 cshalizi monte_carlo density_estimation distributed_systems computational_statistics xing.eric have_read in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:cb16d125c286/ [1312.3516] Density Estimation in Infinite Dimensional Exponential Families 2013-12-16T01:53:04+00:00 http://arxiv.org/abs/1312.3516 cshalizi to:NB density_estimation hilbert_space kernel_methods statistics nonparametrics have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:5618c9fa60d6/ Preadjusted non-parametric estimation of a conditional distribution function - Veraverbeke - 2013 - Journal of the Royal Statistical Society: Series B (Statistical Methodology) - Wiley Online Library 2013-11-15T01:21:38+00:00 http://onlinelibrary.wiley.com/doi/10.1111/rssb.12041/abstract cshalizi to:NB density_estimation nonparametrics statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:098a3333cb1f/ Bott , Devroye , Kohler : Estimation of a distribution from data with small measurement errors 2013-10-03T16:51:24+00:00 http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.ejs/1380719362 cshalizi to:NB density_estimation nonparametrics statistics error-in-variables kernel_smoothing https://pinboard.in/ https://pinboard.in/u:cshalizi/b:bd4e37a72179/ [1309.6906] Hellinger Distance and Bayesian Non-Parametrics: Hierarchical Models for Robust and Efficient Bayesian Inference 2013-09-27T16:42:10+00:00 http://arxiv.org/abs/1309.6906 cshalizi to:NB density_estimation nonparametrics hooker.giles statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:90902ad8e44f/ Hall , Horowitz : A simple bootstrap method for constructing nonparametric confidence bands for functions 2013-09-06T19:48:31+00:00 http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.aos/1378386242 cshalizi statistics regression density_estimation bootstrap confidence_sets to_teach:undergrad-ADA have_read in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:dbe29df764e8/