Pinboard (cshalizi)
https://pinboard.in/u:cshalizi/public/
recent bookmarks from cshalizi
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[2008.02915] Kernel Ordinary Differential Equations
2022-02-15T14:55:41+00:00
https://arxiv.org/abs/2008.02915
cshalizi
equations_of_motion_from_a_time_series dynamical_systems kernel_methods statistics nonparametrics splines in_NB have_skimmed
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:8188454a9772/
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[2105.02368] Physics-informed Spline Learning for Nonlinear Dynamics Discovery
2021-06-01T17:53:56+00:00
https://arxiv.org/abs/2105.02368
cshalizi
equations_of_motion_from_a_time_series splines in_NB
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:2a0a87529e8d/
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Approximating data with weighted smoothing splines: Journal of Nonparametric Statistics: Vol 20, No 3
2020-05-16T18:09:43+00:00
https://www.tandfonline.com/doi/abs/10.1080/10485250801948625
cshalizi
to:NB smoothing approximation splines statistics davies.p.l.
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:c2207876cd87/
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Control Theoretic Splines: Optimal Control, Statistics, and Path Planning on JSTOR
2020-01-28T00:47:15+00:00
https://www.jstor.org/stable/j.ctt7tb0k
cshalizito:NB downloaded splines control_theory_and_control_engineering optimization statistics smoothing
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:823fb9557d74/
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[1905.00175] Boosting: Why You Can Use the HP Filter
2019-11-11T15:11:15+00:00
https://arxiv.org/abs/1905.00175
cshalizi
to:NB boosting time_series splines statistics
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:0fd09b47d5c0/
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[1909.11161] Selecting a Scale for Spatial Confounding Adjustment
2019-09-26T18:41:42+00:00
https://arxiv.org/abs/1909.11161
cshalizi
to:NB causal_inference splines smoothing spatial_statistics statistics fourier_analysis to_teach:data_over_space_and_time
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:58ef91676af2/
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Xiao : Asymptotic theory of penalized splines
2019-07-30T18:00:07+00:00
https://projecteuclid.org/euclid.ejs/1553133771
cshalizi
to:NB splines statistics
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:7b65247a2683/
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A Spline Theory of Deep Learning
2019-04-29T17:48:57+00:00
http://proceedings.mlr.press/v80/balestriero18b.html
cshalizi
to:NB to_read approximation splines neural_networks machine_learning your_favorite_deep_neural_network_sucks via:csantos
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:9b98002244e0/
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Kriging and Splines: Theoretical Approach to Linking Spatial Prediction Methods | SpringerLink
2019-01-09T16:45:39+00:00
https://link.springer.com/chapter/10.1007/978-3-540-33236-7_4
cshalizi
splines prediction spatial_statistics to_teach:data_over_space_and_time in_NB have_read dis-recommended
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:0b64d149f162/
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Breaking ground with Grace
2018-10-21T17:08:47+00:00
https://news.wisc.edu/breaking-ground-with-grace/
cshalizi
wahba.grace statistics splines lives_of_the_scientists
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:bc2469818ba0/
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[1212.6788] Local and global asymptotic inference in smoothing spline models
2016-12-01T20:21:41+00:00
https://arxiv.org/abs/1212.6788
cshalizi
to:NB nonparametrics splines regression confidence_sets statistics
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:63feac8492af/
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Thomas-Agnan : Spline Functions and Stochastic Filtering
2016-04-16T15:13:50+00:00
http://projecteuclid.org/euclid.aos/1176348259
cshalizi
to:NB splines prediction filtering statistics hilbert_space fourier_analysis random_fields have_read
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:f733830bbdcd/
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Boosting With the L2 Loss - Journal of the American Statistical Association
2016-04-13T15:25:04+00:00
http://amstat.tandfonline.com/doi/abs/10.1198/016214503000125
cshalizi
to:NB statistics regression splines smoothing classifiers ensemble_methods have_read via:djm1107 buhlmann.peter yu.bin
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:9e0beec48d82/
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An Introduction to Sparse Stochastic Processes | Communications and Signal Processing | Cambridge University Press
2015-12-17T14:11:44+00:00
http://cambridge.org/9781107058545
cshalizi
to:NB books:noted sparsity stochastic_processes compressed_sensing splines statistics levy_processes
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:ad6052f5838a/
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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/
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[1410.7690] Trend Filtering on Graphs
2014-12-02T00:40:25+00:00
http://arxiv.org/abs/1410.7690
cshalizi
to:NB network_data_analysis smoothing statistics nonparametrics splines kith_and_kin sharpnack.james tibshirani.ryan to_teach:baby-nets
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:ca1ff9124363/
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[1405.0558] The Falling Factorial Basis and Its Statistical Applications
2014-12-02T00:39:08+00:00
http://arxiv.org/abs/1405.0558
cshalizi
to:NB have_read splines nonparametrics statistics two-sample_tests kith_and_kin tibshirani.ryan
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:dfcdfbd65639/
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IEEE Xplore Abstract - Control theoretic smoothing splines
2014-09-30T12:35:04+00:00
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=895563&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D895563
cshalizi
to:NB splines smoothing statistics via:arsyed control_theory_and_control_engineering
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:ef5eafb2c67c/
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A Primer on Regression Splines
2014-05-02T15:27:58+00:00
http://cran.r-project.org/web/packages/crs/vignettes/spline_primer.pdf
cshalizi
splines nonparametrics regression approximation statistics computational_statistics racine.jeffrey_s. to_teach:statcomp to_teach:undergrad-ADA have_read in_NB
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:c6d32a51d6f0/
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[1403.7118] A Unified Framework of Constrained Regression
2014-04-03T18:30:30+00:00
http://arxiv.org/abs/1403.7118
cshalizi
to:NB additive_models regression nonparametrics statistics to_read boosting splines
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:9519c8b1d0ca/
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[1403.7001] Spaghetti prediction: A robust method for forecasting short time series
2014-04-03T18:27:16+00:00
http://arxiv.org/abs/1403.7001
cshalizi
prediction time_series statistics have_read splines my_initial_skeptical_coloration_became_on_examination_a_permanent_stain
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:c6f9529e4b3d/
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Likelihood Ratio Tests for Dependent Data with Applications to Longitudinal and Functional Data Analysis - Staicu - 2014 - Scandinavian Journal of Statistics - Wiley Online Library
2014-03-13T14:27:57+00:00
http://onlinelibrary.wiley.com/doi/10.1111/sjos.12075/abstract?systemMessage=Wiley+Online+Library+will+be+disrupted+Saturday%2C+15+March+from+10%3A00-12%3A00+GMT+%2806%3A00-08%3A00+EDT%29+for+essential+maintenance
cshalizi
to:NB likelihood hypothesis_testing splines nonparametrics misspecification statistics to_teach:undergrad-ADA
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:66130ec30abe/
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Kim , Huo : Asymptotic optimality of a multivariate version of the generalized cross validation in adaptive smoothing splines
2014-02-20T01:05:33+00:00
http://projecteuclid.org/euclid.ejs/1392215030
cshalizi
splines smoothing nonparametrics cross-validation in_NB
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:a1c2eca5acc1/
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Taylor & Francis Online :: Shape-Constrained Estimation Using Nonnegative Splines - Journal of Computational and Graphical Statistics - Volume 23, Issue 1
2014-02-18T00:33:51+00:00
http://www.tandfonline.com/doi/abs/10.1080/10618600.2012.707343#.Uvzx3f0aAlM
cshalizi
to:NB splines regression nonparametrics optimization statistics
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:53d0213bba31/
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Shang , Cheng : Local and global asymptotic inference in smoothing spline models
2013-11-20T21:54:13+00:00
http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.aos/1384871347
cshalizi
splines nonparametrics confidence_sets hypothesis_testing to_read in_NB
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:a70442da1e7c/
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Discretized Laplacian Smoothing by Fourier Methods - Journal of the American Statistical Association - Volume 86, Issue 415
2013-09-26T20:03:56+00:00
http://amstat.tandfonline.com/doi/abs/10.1080/01621459.1991.10475089#.UkMSQBbPUlN
cshalizi
to:NB have_read smoothing splines regression statistics
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:4536c4d83d84/
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Some Aspects of the Spline Smoothing Approach to Non-Parametric Regression Curve Fitting
2013-09-26T19:34:16+00:00
http://www.jstor.org/stable/2345542
cshalizi
to:NB splines regression smoothing have_read statistics silverman.bernard nonparametrics
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:0e3fbcb05440/
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Technical Report: Using Laplacian Methods, RKHS Smoothing Splines and Bayesian Estimation as a framework for Regression on Graph and Graph Related Domains
2013-09-26T14:24:00+00:00
http://www.cs.unm.edu/~treport/tr/08-06/laplacian-rkhs.pdf
cshalizihave_read splines smoothing regression network_data_analysis to_teach:undergrad-ADA statistics hilbert_space in_NB
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:2f3251b24918/
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Bayesian Smoothing and Regression Splines for Measurement Error Problems
2013-09-24T03:19:02+00:00
http://www.stat.tamu.edu/~carroll/ftp/2002.papers.directory/berry_ruppert_carroll.pdf
cshalizi
to:NB regression nonparametrics splines statistics re:smoothing_adjacency_matrices to_read error-in-variables
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:c786a10ab7f6/
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[1306.3014] Mixtures of Spatial Spline Regressions
2013-06-27T14:59:24+00:00
http://arxiv.org/abs/1306.3014
cshalizi
splines spatial_statistics mixture_models in_NB
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:c168aecc3176/
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[1306.1868] Smoothing splines with varying smoothing parameter
2013-06-11T18:14:38+00:00
http://arxiv.org/abs/1306.1868
cshalizi
to:NB splines nonparametrics regression statistics kernel_smoothing
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:f7c8409f7497/
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[1306.1866] Minimax Optimal Estimation of Convex Functions in the Supreme Norm
2013-06-11T18:13:58+00:00
http://arxiv.org/abs/1306.1866
cshalizi
to:NB optimization splines nonparametrics statistics
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:1eff0eb1bb00/
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Flexible Copula Density Estimation with Penalized Hierarchical B-splines - Kauermann - 2013 - Scandinavian Journal of Statistics - Wiley Online Library
2013-06-10T16:28:05+00:00
http://onlinelibrary.wiley.com/doi/10.1111/sjos.12018/abstract
cshalizi
to:NB density_estimation copulas splines statistics
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:3f4e0ac46c3b/
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Heckman , Lockhart , Nielsen : Penalized regression, mixed effects models and appropriate modelling
2013-05-29T17:46:05+00:00
http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.ejs/1369836229
cshalizi
to:NB hierarchical_statistical_models smoothing splines time_series statistics regression
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:1ce430452092/
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[1304.3347] Spline regression for zero-inflated models
2013-04-23T13:23:41+00:00
http://arxiv.org/abs/1304.3347
cshalizi
to:NB splines regression nonparametrics to_teach:undergrad-ADA
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:169f035db76d/
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[1304.2986] Adaptive Piecewise Polynomial Estimation via Trend Filtering
2013-04-11T04:10:40+00:00
http://arxiv.org/abs/1304.2986
cshalizi
to:NB filtering regression statistics splines sparsity lasso kith_and_kin have_read tibshirani.ryan
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:02f1ed0872ce/
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Spatial spline regression models - Sangalli - 2013 - Journal of the Royal Statistical Society: Series B (Statistical Methodology) - Wiley Online Library
2013-03-20T14:58:12+00:00
http://onlinelibrary.wiley.com/doi/10.1111/rssb.12009/abstract
cshalizi
statistics splines spatial_statistics functional_data_analysis smoothing in_NB re:small-area_estimation_by_smoothing
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:58f25cf9a964/
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Smoothing parameter selection in two frameworks for penalized splines - Krivobokova - 2013 - Journal of the Royal Statistical Society: Series B (Statistical Methodology) - Wiley Online Library
2013-03-20T14:57:45+00:00
http://onlinelibrary.wiley.com/doi/10.1111/rssb.12010/abstract
cshalizi
splines statistics in_NB regression smoothing
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:5605e717f6dc/
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[1303.3365] Adaptive Priors based on Splines with Random Knots
2013-03-15T01:21:00+00:00
http://arxiv.org/abs/1303.3365
cshalizi
to:NB bayesianism splines nonparametrics statistics
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:3e193fa2d5a4/
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Balek, Mizera: Mechanical models in nonparametric regression
2013-03-10T01:11:14+00:00
http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.imsc/1362751176
cshalizi
to:NB splines regression nonparametrics statistics
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:f19cd67f51b7/
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Fast bivariate P-splines: the sandwich smoother - Xiao - 2013 - Journal of the Royal Statistical Society: Series B (Statistical Methodology) - Wiley Online Library
2013-03-06T15:01:04+00:00
http://onlinelibrary.wiley.com/doi/10.1111/rssb.12007/abstract;jsessionid=D78F415A70E72E0F06D7075D35B0AED9.d01t03
cshalizi
to:NB smoothing splines regression to_teach:undergrad-ADA
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:fdad933db7bf/
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Smoothing Spline ANOVA Models
2013-02-13T16:43:56+00:00
http://www.springer.com/statistics/statistical+theory+and+methods/book/978-1-4614-5368-0?cm_mmc=NBA-_-Feb-13_WEST_12237648-_-product-_-978-1-4614-5368-0&otherVersion=978-1-4614-5369-7
cshalizi
books:noted smoothing splines regression density_estimation statistics nonparametrics additive_models in_NB
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:82762d9167e6/
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Heckman : The theory and application of penalized methods or Reproducing Kernel Hilbert Spaces made easy
2012-10-16T15:10:39+00:00
http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.ssu/1350394596
cshalizi
to:NB statistics optimization splines hilbert_space
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:a824950439c3/
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[1208.3920] Asymptotics for penalized splines in generalized additive models
2012-08-24T11:26:01+00:00
http://arxiv.org/abs/1208.3920
cshalizi
additive_models regression splines statistics in_NB
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:18391eca9418/
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Filters and Full Employment (Not Wonkish, Really) - NYTimes.com
2012-07-12T01:59:57+00:00
http://krugman.blogs.nytimes.com/2012/07/11/filters-and-full-employment-not-wonkish-really/
cshalizi
bad_data_analysis macroeconomics filtering time_series utter_stupidity to_teach:undergrad-ADA splines
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:251ce3c5da8e/
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[1205.5314] A general spline representation for nonparametric and semiparametric density estimates using diffeomorphisms
2012-06-23T15:23:23+00:00
http://arxiv.org/abs/1205.5314
cshalizi
density_estimation statistics splines in_NB
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:5f422fd54e10/
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[0805.1404] Adaptive estimation of a distribution function and its density in sup-norm loss by wavelet and spline projections
2012-05-06T14:48:16+00:00
http://arxiv.org/abs/0805.1404
cshalizi
density_estimation wavelets splines statistics empirical_processes in_NB
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:c6319087f9ed/
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[math/0612776] Uniform error bounds for smoothing splines
2012-04-14T02:50:39+00:00
http://arxiv.org/abs/math/0612776
cshalizi
splines regression nonparametrics statistics learning_theory in_NB
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:86cf34666503/
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On a New Method of Graduation
2012-01-28T17:18:40+00:00
http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=3140568
cshalizi
to_teach:undergrad-ADA splines smoothing regression statistics have_read in_NB
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:c34c1752e7cc/
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[1111.1915] The theory and application of penalized methods or Reproducing Kernel Hilbert Spaces made easy
2011-11-09T14:17:40+00:00
http://arxiv.org/abs/1111.1915
cshalizi
statistics hilbert_space splines in_NB
https://pinboard.in/
https://pinboard.in/u:cshalizi/b:2862e8c5b9de/
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Paige, Trindade: The Hodrick-Prescott Filter: A special case of penalized spline smoothing
2010-09-15T15:14:07+00:00
http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.ejs/1284557751
cshalizi
splines smoothing hodrick-prescott_filter statistics data_analysis econometrics obvious_to_one_skilled_in_the_art time_series re:your_favorite_dsge_sucks have_read
https://pinboard.in/u:cshalizi/b:a38842cccabb/
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"A Locally Adaptive Penalty for Estimation of Functions of Varying Roughness"
2010-08-05T21:03:56+00:00
http://pubs.amstat.org/doi/abs/10.1198/jcgs.2010.09020
cshalizi
splines curve_fitting smoothing regression statistics to_teach:data-mining to_read to_teach:undergrad-ADA
https://pinboard.in/u:cshalizi/b:a2ea7130b383/
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"Simultaneous Confidence Bands for Penalized Spline Estimators" - Journal of the American Statistical Association - 105(490):852
2010-07-08T16:42:32+00:00
http://pubs.amstat.org/doi/abs/10.1198/jasa.2010.tm09165
cshalizi
splines confidence_sets statistics
https://pinboard.in/u:cshalizi/b:5458d5ec8856/
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Kohler, Krzyzak, Schäfer: Application of structural risk minimization to multivariate smoothing spline regression estimates
2010-03-05T21:50:04+00:00
http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.bj/1078681380
cshalizi
splines regression structural_risk_minimization learning_theory estimation statistics have_read
https://pinboard.in/u:cshalizi/b:45a803e45ca9/
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"On the Equivalence of Two Stochastic Approaches to Spline Smoothing" (Ansley and Kohn, 1986)
2010-02-14T16:44:21+00:00
http://www.jstor.org/pss/3214367
cshalizi
splines smoothing statistics hilbert_space state-space_models nonparametrics re:your_favorite_dsge_sucks
https://pinboard.in/u:cshalizi/b:284b68fada68/
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Qi, Zhao: Asymptotic efficiency and finite-sample properties of the generalized profiling estimation of parameters in ordinary differential equations
2009-12-31T16:47:34+00:00
http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.aos/1262271620
cshalizi
time_series estimation_of_dynamical_systems statistics estimation splines re:stacs
https://pinboard.in/u:cshalizi/b:333384e53ec0/
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Hodrick-Prescott filter - Wikipedia, the free encyclopedia
2009-09-11T16:33:58+00:00
http://en.wikipedia.org/wiki/Hodrick-Prescott_filter
cshalizi
time_series macroeconomics filtering splines wheels:reinvention_of statistics econometrics re:your_favorite_dsge_sucks
https://pinboard.in/u:cshalizi/b:f4d84be694ae/
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Splines for Financial Volatility
2009-06-02T18:03:04+00:00
http://www3.interscience.wiley.com/journal/122210827/abstract
cshalizi
splines statistics finance stochastic_volatility ensemble_methods boosting buhlmann.peter have_read in_NB time_series
https://pinboard.in/u:cshalizi/b:fc188b886f1a/