Pinboard (cshalizi) https://pinboard.in/u:cshalizi/public/ recent bookmarks from cshalizi [2503.09299] Low-Rank Graphon Estimation: Theory and Applications to Graphon Games 2025-04-09T14:17:10+00:00 https://arxiv.org/abs/2503.09299 cshalizi to:NB network_data_analysis re:smoothing_adjacency_matrices low-rank_approximation https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4a5fdd1f720b/ [2503.03047] Stochastic block models with many communities and the Kesten--Stigum bound 2025-04-09T14:14:39+00:00 https://arxiv.org/abs/2503.03047 cshalizi to:NB community_discovery network_data_analysis graphons re:smoothing_adjacency_matrices https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2fa03337b383/ A Simple Latent Variable Model for Graph Learning and Inference | OpenReview 2025-03-08T14:04:47+00:00 https://openreview.net/forum?id=S9jem2KZVr cshalizi to:NB stochastic_block_models graphons re:smoothing_adjacency_matrices jaeger.manfred schulte.oliver to_read inference_to_latent_objects relational_learning https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e826d2031bb8/ [2006.07695] Learning Sparse Graphons and the Generalized Kesten-Stigum Threshold 2025-01-06T20:24:09+00:00 https://arxiv.org/abs/2006.07695 cshalizi to:NB to_read graph_limits re:smoothing_adjacency_matrices sds_icsd_search https://pinboard.in/ https://pinboard.in/u:cshalizi/b:db19a4928104/ [2303.16598] Robust recovery of Robinson $L^p$-graphons 2023-04-22T13:54:22+00:00 https://arxiv.org/abs/2303.16598 cshalizi5, every Lp-graphon w can be approximated by a Robinson graphon, with error of the approximation bounded in terms of \IN{Λ(w)}. When w is a noisy version of a Robinson graphon, our method provides a concrete formula for recovering the Robinson graphon approximating w in cut-norm."]]> re:smoothing_adjacency_matrices graphons network_data_analysis scooped? to_read in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2651f1bebb02/ [2105.14244] Learning Graphon Autoencoders for Generative Graph Modeling 2021-06-01T17:48:16+00:00 https://arxiv.org/abs/2105.14244 cshalizi to:NB graphons re:smoothing_adjacency_matrices statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:6dae79d57286/ [2009.07542] Perturbation expansions and error bounds for the truncated singular value decomposition 2021-06-01T13:36:06+00:00 https://arxiv.org/abs/2009.07542 cshalizi to:NB linear_algebra re:smoothing_adjacency_matrices https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2331bbfe0da7/ [2101.07587] Can smooth graphons in several dimensions be represented by smooth graphons on $[0,1]$? 2021-01-22T05:58:03+00:00 https://arxiv.org/abs/2101.07587 cshalizi to:NB to_read graphons re:smoothing_adjacency_matrices olhede.sofia janson.svante https://pinboard.in/ https://pinboard.in/u:cshalizi/b:aa3b66091676/ Naulet , Roy , Sharma , Veitch : Bootstrap estimators for the tail-index and for the count statistics of graphex processes 2021-01-06T17:11:17+00:00 https://projecteuclid.org/euclid.ejs/1609902191 cshalizi to:NB graph_limits network_data_analysis statistics re:bootstrapping_graphs re:smoothing_adjacency_matrices to_read veitch.victor https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1307a7a47e83/ [2009.05150] Inference for high-dimensional exchangeable arrays 2021-01-03T19:55:54+00:00 https://arxiv.org/abs/2009.05150 cshalizi to:NB exchangeability network_data_analysis high-dimensional_statistics statistics to_read re:smoothing_adjacency_matrices https://pinboard.in/ https://pinboard.in/u:cshalizi/b:cab87c641900/ 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/ [2012.08444] Minimax Risk and Uniform Convergence Rates for Nonparametric Dyadic Regression 2020-12-16T15:11:23+00:00 https://arxiv.org/abs/2012.08444 cshalizi to:NB network_data_analysis regression nonparametrics re:smoothing_adjacency_matrices to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:de76b10c1394/ [2012.05644] Learning Graphons via Structured Gromov-Wasserstein Barycenters 2020-12-11T17:36:15+00:00 https://arxiv.org/abs/2012.05644 cshalizi to:NB to_read scooped? graphons re:smoothing_adjacency_matrices https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1f74b8ac44a1/ [2007.14365] Tractably Modelling Dependence in Networks Beyond Exchangeability 2020-09-09T17:48:31+00:00 https://arxiv.org/abs/2007.14365 cshalizi to:NB network_data_analysis graphons to_read re:smoothing_adjacency_matrices wolfe.patrick olhede.sofia https://pinboard.in/ https://pinboard.in/u:cshalizi/b:20c5aa187bff/ [1708.02107] Adaptive Estimation of Nonparametric Geometric Graphs 2019-10-01T17:33:41+00:00 https://arxiv.org/abs/1708.02107 cshalizi to:NB network_data_analysis nonparametrics statistics re:smoothing_adjacency_matrices to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c5e986b823fa/ [1909.02900] On the Estimation of Network Complexity: Dimension of Graphons 2019-09-09T03:45:40+00:00 https://arxiv.org/abs/1909.02900 cshalizi to:NB to_read complexity_measures graph_limits network_data_analysis re:smoothing_adjacency_matrices https://pinboard.in/ https://pinboard.in/u:cshalizi/b:47ae48949e23/ [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/ [1903.06936] Bayesian and Spline based Approaches for (EM based) Graphon Estimation 2019-07-31T15:21:25+00:00 https://arxiv.org/abs/1903.06936 cshalizi to:NB to_read graph_limits network_data_analysis nonparametrics statistics re:smoothing_adjacency_matrices scooped? https://pinboard.in/ https://pinboard.in/u:cshalizi/b:cb0eef6743fc/ [1805.07042] Graphon estimation via nearest neighbor algorithm and 2D fused lasso denoising 2019-06-21T15:42:52+00:00 https://arxiv.org/abs/1805.07042 cshalizi to:NB graph_limits network_data_analysis statistics re:smoothing_adjacency_matrices https://pinboard.in/ https://pinboard.in/u:cshalizi/b:30fe3be3dad2/ Pensky : Dynamic network models and graphon estimation 2019-05-26T22:13:05+00:00 https://projecteuclid.org/euclid.aos/1558425649 cshalizi to:NB to_read graph_limits nonparametrics network_data_analysis re:smoothing_adjacency_matrices https://pinboard.in/ https://pinboard.in/u:cshalizi/b:276ac9ad5cc1/ [1410.5837] Rate-optimal graphon estimation 2016-07-12T00:05:12+00:00 http://arxiv.org/abs/1410.5837 cshalizi re:smoothing_adjacency_matrices network_data_analysis statistics graph_limits to:NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:0e830503e9e7/ Arcones , Gine : Limit Theorems for $U$-Processes 2015-12-09T00:27:53+00:00 https://projecteuclid.org/euclid.aop/1176989128 cshalizi u-statistics empirical_processes deviation_inequalities vc-dimension central_limit_theorem re:smoothing_adjacency_matrices in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:fbf2713f12b2/ Empirical Bernstein Inequalities for U-Statistics 2015-12-09T00:26:24+00:00 https://papers.nips.cc/paper/4081-empirical-bernstein-inequalities-for-u-statistics cshalizi u-statistics statistics estimation deviation_inequalities re:smoothing_adjacency_matrices in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b134f56ca494/ [1504.04580] Robust estimation of U-statistics 2015-12-09T00:24:14+00:00 http://arxiv.org/abs/1504.04580 cshalizi heavy_tails statistics estimation deviation_inequalities re:smoothing_adjacency_matrices u-statistics in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8dc1640ac0d6/ [1508.06675] Consistent nonparametric estimation for heavy-tailed sparse graphs 2015-09-13T19:58:16+00:00 http://arxiv.org/abs/1508.06675 cshalizi to_read graph_limits network_data_analysis re:smoothing_adjacency_matrices cohn.henry chayes.jennifer borgs.christian heard_the_talk to_teach:graphons in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:472625b9cca4/ [1507.02925] Completely random measures for modelling block-structured sparse networks 2015-08-05T16:25:29+00:00 http://arxiv.org/abs/1507.02925 cshalizi graph_limits network_data_analysis statistics re:smoothing_adjacency_matrices in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ac4c2b52fe92/ [1507.04118] Oracle inequalities for network models and sparse graphon estimation 2015-08-05T16:20:01+00:00 http://arxiv.org/abs/1507.04118 cshalizi to:NB network_data_analysis graph_limits statistics minimax estimation re:smoothing_adjacency_matrices https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a511970b5a6d/ [1505.07478] Generalized communities in networks 2015-07-14T12:57:41+00:00 http://arxiv.org/abs/1505.07478 cshalizi network_data_analysis community_discovery statistics scooped? kith_and_kin newman.mark re:smoothing_adjacency_matrices to_teach:graphons in_NB have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b11f0d120405/ [1506.06162] Private Graphon Estimation for Sparse Graphs 2015-07-14T09:49:13+00:00 http://arxiv.org/abs/1506.06162 cshalizi to:NB graph_limits nonparametrics differential_privacy stochastic_block_models statistics re:smoothing_adjacency_matrices borgs.christian chayes.jennifer https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1ab606448a32/ [1506.00669] Concentration and regularization of random graphs 2015-06-03T15:14:14+00:00 http://arxiv.org/abs/1506.00669 cshalizi to_read concentration_of_measure graph_theory graph_limits re:smoothing_adjacency_matrices re:network_differences in_NB via:mraginsky https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c32f3b03c787/ Mean oscillation over cubes and Hölder continuity 2014-11-12T01:19:24+00:00 http://www.ams.org/journals/proc/1964-015-05/S0002-9939-1964-0168712-3/ cshalizi mathematics real_analysis re:smoothing_adjacency_matrices have_read to:NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:89fb532893a4/ [1403.3736] Differential Calculus on Graphon Space 2014-06-07T19:38:53+00:00 http://arxiv.org/abs/1403.3736 cshalizi to:NB graph_limits analysis mathematics to_read re:smoothing_adjacency_matrices https://pinboard.in/ https://pinboard.in/u:cshalizi/b:faa4dde59619/ On the representation theorem for exchangeable arrays 2014-03-26T14:12:23+00:00 http://www.sciencedirect.com/science/article/pii/0047259X89900924 cshalizi probability exchangeability stochastic_processes kallenberg.olav re:smoothing_adjacency_matrices exchangeable_arrays have_read to_teach:graphons in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ee3b529ed2e6/ Multivariate Sampling and the Estimation Problem for Exchangeable Arrays - Springer 2014-03-26T14:10:41+00:00 http://link.springer.com/article/10.1023/A:1021692202530 cshalizi stochastic_processes exchangeability statistical_inference_for_stochastic_processes kallenberg.olav re:smoothing_adjacency_matrices network_data_analysis statistics in_NB have_read ergodic_theory to_teach:graphons exchangeable_arrays https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f9139f894731/ [1403.0598] The Structurally Smoothed Graphlet Kernel 2014-03-10T18:00:40+00:00 http://arxiv.org/abs/1403.0598 cshalizi to:NB kernel_methods network_data_analysis graph_theory to_read re:smoothing_adjacency_matrices re:network_differences https://pinboard.in/ https://pinboard.in/u:cshalizi/b:cf5ca26f08a9/ [1401.1137] Bayesian nonparametric models of sparse and exchangeable random graphs 2014-03-10T00:50:33+00:00 http://arxiv.org/abs/1401.1137 cshalizi graph_limits nonparametrics stochastic_processes fox.emily re:smoothing_adjacency_matrices to_read statistics in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:22258125b6f2/ [1401.3915] Community Detection in Networks using Graph Distance 2014-02-20T22:22:55+00:00 http://arxiv.org/abs/1401.3915 cshalizi community_discovery network_data_analysis re:smoothing_adjacency_matrices to_read in_NB bickel.peter_j. https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1d3b71ae36f4/ The World is not always Flat or Learning Curved Manifolds 2014-02-19T23:44:28+00:00 http://www.cs.huji.ac.il/~werman/Papers/cmds.pdf cshalizi to_read hyperbolic_geometry manifold_learning multidimensional_scaling re:smoothing_adjacency_matrices principal_components in_NB graph_embedding re:hyperbolic_networks https://pinboard.in/ https://pinboard.in/u:cshalizi/b:bf83be8b8be0/ [1105.5332] Multidimensional Scaling in the Poincar'e Disk 2014-02-19T23:43:50+00:00 http://arxiv.org/abs/1105.5332 cshalizi to_read visual_display_of_quantitative_information hyperbolic_geometry network_data_analysis optimization multidimensional_scaling re:smoothing_adjacency_matrices in_NB re:hyperbolic_networks https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1e670914899f/ [1402.1888] A Consistent Histogram Estimator for Exchangeable Graph Models 2014-02-11T21:33:42+00:00 http://arxiv.org/abs/1402.1888 cshalizi graph_limits network_data_analysis re:smoothing_adjacency_matrices scooped? have_read in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4074499e7955/ [1401.2906] An $L^p$ theory of sparse graph convergence I: limits, sparse random graph models, and power law distributions 2014-01-14T01:44:13+00:00 http://arxiv.org/abs/1401.2906 cshalizi graph_limits re:smoothing_adjacency_matrices have_read mathematics in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:290898ff8194/ [1312.5306] Network histograms and universality of blockmodel approximation 2013-12-23T21:58:14+00:00 http://arxiv.org/abs/1312.5306 cshalizi to:NB network_data_analysis re:smoothing_adjacency_matrices statistics to_read wolfe.patrick_j. https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8307c25542dd/ [1310.0532] Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding 2013-11-22T17:38:38+00:00 http://arxiv.org/abs/1310.0532 cshalizi community_discovery spectral_clustering re:smoothing_adjacency_matrices have_read in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ad5a25b047bb/ [1310.1495] Role of Normalization in Spectral Clustering for Stochastic Blockmodels 2013-11-22T16:30:03+00:00 http://arxiv.org/abs/1310.1495 cshalizi to_read spectral_clustering network_data_analysis community_discovery re:smoothing_adjacency_matrices sarkar.purnamrita heard_the_talk in_NB bickel.peter_j. https://pinboard.in/ https://pinboard.in/u:cshalizi/b:d7821e39aebc/ [1311.1731] Stochastic blockmodel approximation of a graphon: Theory and consistent estimation 2013-11-14T04:49:44+00:00 http://arxiv.org/abs/1311.1731 cshalizi graph_limits network_data_analysis community_discovery airoldi.edo to_read re:smoothing_adjacency_matrices in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:20ef7f1aa3dc/ [1310.6150] Bayesian Model Averaging of Stochastic Block Models to Estimate the Graphon Function and Motif Frequencies in a W-graph Model 2013-10-26T12:11:22+00:00 http://arxiv.org/abs/1310.6150 cshalizi to_read graph_limits network_data_analysis statistics variational_inference re:smoothing_adjacency_matrices in_NB entableted https://pinboard.in/ https://pinboard.in/u:cshalizi/b:14a10bab56d2/ [1309.5936] Nonparametric graphon estimation 2013-09-24T13:51:18+00:00 http://arxiv.org/abs/1309.5936 cshalizi graph_limits network_data_analysis community_discovery statistics wolfe.patrick_j. re:smoothing_adjacency_matrices please_dont_let_me_be_scooped have_read ok_not_quite_scooped in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:393ebb492cf3/ 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/ Nonparametric regression in the presence of measurement error 2013-09-24T03:18:13+00:00 http://biomet.oxfordjournals.org/content/86/3/541.short cshalizi regression nonparametrics re:smoothing_adjacency_matrices statistics have_read in_NB error-in-variables https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e99cc74b36b3/ [1306.6709] A Survey on Metric Learning for Feature Vectors and Structured Data 2013-07-01T18:56:59+00:00 http://arxiv.org/abs/1306.6709 cshalizi to:NB data_mining data_analysis structured_data statistics re:smoothing_adjacency_matrices https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e3aecfca10ce/ [1306.3524] Analysis of data in the form of graphs 2013-06-18T15:41:58+00:00 http://arxiv.org/abs/1306.3524 cshalizi data_mining graph_theory graph_limits spectral_methods network_data_analysis re:smoothing_adjacency_matrices re:network_differences in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2f62f624c7c1/ [1201.3861] Benjamini-Schramm convergence and the distribution of chromatic roots for sparse graphs 2013-04-23T13:22:52+00:00 http://arxiv.org/abs/1201.3861 cshalizi graph_theory graph_limits re:smoothing_adjacency_matrices via:david.choi in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:df8a798a23dc/ [1302.0870] Centrality-constrained graph embedding 2013-03-06T14:49:52+00:00 http://arxiv.org/abs/1302.0870 cshalizi to:NB network_data_analysis graph_theory visual_display_of_quantitative_information re:6dfb re:smoothing_adjacency_matrices https://pinboard.in/ https://pinboard.in/u:cshalizi/b:722674bfa1b9/ Large Networks and Graph Limits 2013-03-05T22:34:42+00:00 http://www.ams.org/bookstore-getitem/item=COLL-60 cshalizi graph_theory graph_limits lovasz.laszlo re:smoothing_adjacency_matrices re:network_differences books:recommended have_read books:owned in_NB via:arinaldo https://pinboard.in/ https://pinboard.in/u:cshalizi/b:abc06ba2e83d/ [1302.4615] Convergent sequences of sparse graphs: A large deviations approach 2013-02-21T15:06:15+00:00 http://arxiv.org/abs/1302.4615 cshalizi graph_limits graph_theory stochastic_processes large_deviations re:smoothing_adjacency_matrices re:network_differences chayes.jennifer borgs.christian re:almost_none in_NB have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:d35479322ce9/ [1010.4202] M"{o}bius deconvolution on the hyperbolic plane with application to impedance density estimation 2013-02-18T20:10:22+00:00 http://arxiv.org/abs/1010.4202 cshalizi have_read density_estimation deconvolution statistics hyperbolic_geometry re:smoothing_adjacency_matrices fourier_analysis via:dena in_NB re:hyperbolic_networks re:network_differences https://pinboard.in/ https://pinboard.in/u:cshalizi/b:5429cdc9a22b/ Random function priors for exchangeable arrays with applications to graphs and relational data 2013-02-18T02:42:17+00:00 http://books.nips.cc/papers/files/nips25/NIPS2012_0487.pdf cshalizi network_data_analysis nonparametrics re:smoothing_adjacency_matrices statistics ghahramani.zoubin in_NB have_read orbanz.peter https://pinboard.in/ https://pinboard.in/u:cshalizi/b:7a9ac3c0c370/ Phys. Rev. E 68, 036112 (2003): Class of correlated random networks with hidden variables 2013-01-30T23:02:49+00:00 http://pre.aps.org/abstract/PRE/v68/i3/e036112 cshalizi networks graph_limits re:smoothing_adjacency_matrices re:network_differences in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b220f6ceacb3/ [1212.4093] Co-clustering separately exchangeable network data 2012-12-18T14:05:26+00:00 http://arxiv.org/abs/1212.4093 cshalizi have_read re:smoothing_adjacency_matrices kith_and_kin graph_limits network_data_analysis clustering statistics nonparametrics in_NB choi.david_s. wolfe.patrick_j. https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4e9420270634/ Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators 2012-09-04T17:29:11+00:00 http://www.stat.washington.edu/people/dcpj/_static/DirectedEmbedding.pdf cshalizi graph_theory manifold_learning machine_learning statistics re:smoothing_adjacency_matrices network_data_analysis meila.marina markov_models https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9efcc3d13858/ [0902.0132] Very large graphs 2012-08-21T03:00:02+00:00 http://arxiv.org/abs/0902.0132 cshalizi graph_limits graph_theory re:smoothing_adjacency_matrices network_data_analysis via:shivak lovasz.laszlo in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:94ef34065660/ [math/0408173] Limits of dense graph sequences 2012-08-14T02:08:10+00:00 http://arxiv.org/abs/math.CO/0408173 cshalizi in_NB have_read graph_theory graph_limits re:smoothing_adjacency_matrices https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4a978aef6824/ [1206.2380] The Highest Dimensional Stochastic Blockmodel with a Regularized Estimator 2012-06-23T15:12:43+00:00 http://arxiv.org/abs/1206.2380 cshalizi network_data_analysis community_discovery re:network_differences re:smoothing_adjacency_matrices to_read statistics in_NB color_me_skeptical https://pinboard.in/ https://pinboard.in/u:cshalizi/b:fad92655888c/ Graphlets: a Spectral Perspective for Graph Limits 2012-04-26T18:53:59+00:00 http://arxiv.org/abs/1203.2269 cshalizi to_read graph_theory graph_limits re:smoothing_adjacency_matrices re:network_differences chung.fan graph_spectra via:arinaldo in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9168a6e97916/ [1201.5871] Null models for network data 2012-04-20T19:19:33+00:00 http://arxiv.org/abs/1201.5871 cshalizi network_data_analysis have_read statistics estimation approximation re:smoothing_adjacency_matrices in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:dad6c5c2ca1e/ [1202.3123] Right-convergence of sparse random graphs 2012-02-15T13:27:16+00:00 http://arxiv.org/abs/1202.3123 cshalizi graph_theory graph_limits re:smoothing_adjacency_matrices in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b8d6fac13492/ Bickel , Chen , Levina : The method of moments and degree distributions for network models 2011-11-11T15:08:22+00:00 http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.aos/1321020525 cshalizi network_data_analysis statistics estimation levina.elizaveta re:smoothing_adjacency_matrices in_NB have_read bickel.peter_j. https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4ae4ed83137a/ Banff blog « An Ergodic Walk 2011-10-30T20:31:58+00:00 http://ergodicity.net/2011/10/30/banff-blog/ cshalizi conferences statistics learning_theory statistical_inference_for_stochastic_processes track_down_references markov_models network_data_analysis estimation van_handel.ramon nonparametrics re:smoothing_adjacency_matrices information_theory https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b9e4e121c609/ [1110.5383] Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs 2011-10-26T15:49:01+00:00 http://arxiv.org/abs/1110.5383 cshalizi to_read network_data_analysis in_NB re:smoothing_adjacency_matrices https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3bfa0ef221dd/ Orbanz : Projective limit random probabilities on Polish spaces 2011-10-19T15:36:36+00:00 http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.ejs/1319028571 cshalizi probability stochastic_processes measure_theory orbanz.peter to_read re:smoothing_adjacency_matrices high-dimensional_probability in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c949e23cf015/