Pinboard (cshalizi)
https://pinboard.in/u:cshalizi/public/
recent bookmarks from cshaliziOnline Network Change Point Detection With Missing Values and Temporal Dependence - Xu - Journal of Time Series Analysis - Wiley Online Library2025-10-25T20:04:01+00:00
https://onlinelibrary.wiley.com/doi/abs/10.1111/jtsa.70023?campaign=wolearlyview
cshalizito:NB time_series network_data_analysis change-point_problem re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:6d46bde9739c/[2310.20609] Graph Matching via convex relaxation to the simplex2025-04-09T14:54:27+00:00
https://arxiv.org/abs/2310.20609
cshalizito:NB network_data_analysis re:network_differences optimizationhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:5332420e2d77/[2303.04871] Discovering a change point in a time series of organoid networks via the iso-mirror2023-03-17T18:12:06+00:00
https://arxiv.org/abs/2303.04871
cshalizito:NB neural_data_analysis network_data_analysis change-point_problem re:network_differences dimension_reductionhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:5859e41f08a4/[2209.08223] Joint Network Topology Inference via a Shared Graphon Model2022-11-09T15:45:40+00:00
https://arxiv.org/abs/2209.08223#
cshalizito:NB graphons re:network_differences to_read scooped?https://pinboard.in/https://pinboard.in/u:cshalizi/b:76270b6ed49b/Apples to Apples2022-07-02T13:36:39+00:00
https://www.cambridge.org/core/elements/apples-to-apples/5F0CCD49D9528EEE5C9CA6C65DEFEAD0
cshalizito:NB social_networks re:network_differences downloadedhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:31b9550fa2d1/[2003.04235] Differential Network Analysis: A Statistical Perspective2021-09-23T19:09:44+00:00
https://arxiv.org/abs/2003.04235
cshalizito:NB re:network_differences shojaie.ali network_data_analysishttps://pinboard.in/https://pinboard.in/u:cshalizi/b:4406cafc2c4d/[2107.07489] Clustering of heterogeneous populations of networks2021-08-11T18:42:50+00:00
https://arxiv.org/abs/2107.07489
cshaliziin_NB clustering network_data_analysis re:network_differences newman.mark kith_and_kin statisticshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:15a8e80b2b7b/[2107.11403] A principled (and practical) test for network comparison2021-07-27T12:10:21+00:00
https://arxiv.org/abs/2107.11403
cshalizito:NB re:network_differences to_read graph_limits to_teach:graphons statisticshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:362abaf62cf2/[2105.14364] Graph Similarity Description: How Are These Graphs Similar?2021-06-01T17:48:31+00:00
https://arxiv.org/abs/2105.14364
cshalizito:NB data_mining network_data_analysis re:network_differences statisticshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:ec0f72bf02dc/Optimal change point detection and localization in sparse dynamic networks2021-04-12T03:07:34+00:00
https://projecteuclid.org/journals/annals-of-statistics/volume-49/issue-1/Optimal-change-point-detection-and-localization-in-sparse-dynamic-networks/10.1214/20-AOS1953.short
cshalizito:NB network_data_analysis change-point_problem re:network_differences rinaldo.alessandrohttps://pinboard.in/https://pinboard.in/u:cshalizi/b:339653cd83ea/Nonparametric Anomaly Detection on Time Series of Graphs: Journal of Computational and Graphical Statistics: Vol 0, No 02021-01-10T19:46:11+00:00
https://www.tandfonline.com/doi/full/10.1080/10618600.2020.1844214
cshalizito:NB re:network_differences anomaly_detection network_data_analysishttps://pinboard.in/https://pinboard.in/u:cshalizi/b:da7afaba2487/[1911.02741] Improving the Power of a Two-Sample Graph Test with Applications in Connectomics2020-12-24T15:46:36+00:00
https://arxiv.org/abs/1911.02741
cshalizito:NB to_read re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:e64270d852b9/[2012.09828] Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues2020-12-18T10:33:02+00:00
https://arxiv.org/abs/2012.09828
cshalizito:NB network_data_analysis re:network_differences two-sample_testshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:aa95516da3d0/Statistical Power in Longitudinal Network Studies - Christoph Stadtfeld, Tom A. B. Snijders, Christian Steglich, Marijtje van Duijn, 20202020-12-16T20:14:28+00:00
https://journals.sagepub.com/doi/full/10.1177/0049124118769113
cshalizito:NB network_data_analysis networks_in_and_over_time snijders.tom.a.b. exponential_family_random_graphs agent-based_models to_teach:baby-nets re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:9acccfea16fb/Phys. Rev. E 102, 062301 (2020) - Navigating differential structures in complex networks2020-12-15T16:02:36+00:00
https://journals.aps.org/pre/abstract/10.1103/PhysRevE.102.062301
cshalizito:NB network_data_analysis re:network_differences to_read color_me_skepticalhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:c05c46edf9ce/[2011.12416] A spectral-based framework for hypothesis testing in populations of networks2020-11-26T15:54:58+00:00
https://arxiv.org/abs/2011.12416
cshalizito:NB to_read network_data_analysis kolaczyk.eric re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:1c3db94065fe/[2011.12290] Localism as Secrecy: Efficiency-Secrecy Tradeoffs in the Recruitment of ISIS Foreign Fighters2020-11-26T15:48:41+00:00
https://arxiv.org/abs/2011.12290
cshalizito:NB social_networks terrorism institutions network_data_analysis re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:3eeac721d347/[1903.11117] Testing for Differences in Stochastic Network Structure2020-11-25T14:52:28+00:00
https://arxiv.org/abs/1903.11117
cshalizito:NB network_data_analysis re:network_differences two-sample_tests hypothesis_testing to_readhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:ba62b7e5b0dc/[2011.10079] Improving Functional Connectome Fingerprinting with Degree-Normalization2020-11-23T17:35:24+00:00
https://arxiv.org/abs/2011.10079
cshalizito:NB functional_connectivity network_data_analysis re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:a0481b33f03b/Modeling Network Populations via Graph Distances: Journal of the American Statistical Association: Vol 0, No 02020-11-20T19:51:32+00:00
https://www.tandfonline.com/doi/full/10.1080/01621459.2020.1763803
cshalizito:NB to_read network_data_analysis re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:903a47d1a210/Paul , Chen : A random effects stochastic block model for joint community detection in multiple networks with applications to neuroimaging2020-11-19T14:30:30+00:00
https://projecteuclid.org/euclid.aoas/1593449335
cshalizito:NB stochastic_block_models community_discovery network_data_analysis re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:d4c78edc87c7/Ghoshdastidar , Gutzeit , Carpentier , von Luxburg : Two-sample hypothesis testing for inhomogeneous random graphs2020-11-18T21:44:11+00:00
https://projecteuclid.org/euclid.aos/1597370670
cshaliziρd(P,Q)>ρ. We observe that if mm is small, then the minimax separation is too large for some popular choices of dd, including total variation distance between corresponding distributions. This implies that some models that are widely separated in dd cannot be distinguished for small mm, and hence, the testing problem is generally not solvable in these cases.
"We also show that if m>1m>1, then the minimax separation is relatively small if dd is the Frobenius norm or operator norm distance between PP and QQ. For m=1m=1, only the latter distance provides small minimax separation. Thus, for these distances, the problem is solvable for small mm. We also present near-optimal two-sample tests in both cases, where tests are adaptive with respect to sparsity level of the graphs."]]>to:NB to_read statistics two-sample_tests network_data_analysis re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:979b239f43f9/Changing Connectomes | The MIT Press2020-09-21T03:49:14+00:00
https://mitpress.mit.edu/books/changing-connectomes
cshalizito:NB books:noted re:network_differences neuroscience books:suggest_to_libraryhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:055dc8ff2364/[1812.00769] Testing Changes in Communities for the Stochastic Block Model2019-11-30T02:11:43+00:00
https://arxiv.org/abs/1812.00769
cshalizito:NB re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:6c80fa5129c6/[1811.08763] Comparison of Brain Networks based on Predictive Models of Connectivity2019-11-09T23:25:56+00:00
https://arxiv.org/abs/1811.08763
cshalizito:NB functional_connectivity fmri neuroscience re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:32d86143e10e/[1901.08521] Brain Network Topology Maps the Dysfunctional Substrate of Cognitive Processes in Schizophrenia2019-10-29T14:27:09+00:00
https://arxiv.org/abs/1901.08521
cshalizito:NB functional_connectivity neural_data_analysis fmri schizophrenia re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:cbd82d06c504/[1910.02301] Change Detection in Noisy Dynamic Networks: A Spectral Embedding Approach2019-10-24T17:56:28+00:00
https://arxiv.org/abs/1910.02301
cshalizito:NB network_data_analysis spectral_methods re:network_differences change-point_problem statistics networks_in_and_over_timehttps://pinboard.in/https://pinboard.in/u:cshalizi/b:947dcaee813f/[1710.02761] Fréchet Analysis Of Variance For Random Objects2019-10-22T13:25:25+00:00
https://arxiv.org/abs/1710.02761
cshalizito:NB geometry statistics re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:e593b4e76eef/Arroyo Relión , Kessler , Levina , Taylor : Network classification with applications to brain connectomics2019-10-19T18:00:34+00:00
https://projecteuclid.org/euclid.aoas/1571277767
cshalizito:NB network_data_analysis re:network_differences statistics levina.elizavetahttps://pinboard.in/https://pinboard.in/u:cshalizi/b:020360dd1a4e/[1703.03862] Joint Embedding of Graphs2019-10-19T00:18:00+00:00
https://arxiv.org/abs/1703.03862
cshalizito:NB network_visualization re:network_differences network_data_analysishttps://pinboard.in/https://pinboard.in/u:cshalizi/b:e680cc7873b4/[1908.03836] Hypothesis Testing for Network Data with Power Enhancement2019-10-11T22:15:00+00:00
https://arxiv.org/abs/1908.03836
cshalizito:NB re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:c9d39069305a/[1909.13253] Changing the tune: mixtures of network models that vary in time2019-10-01T16:30:38+00:00
https://arxiv.org/abs/1909.13253
cshalizito:NB network_formation time_series statistics network_data_analysis re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:1bb2b6671f35/[1909.13464] Network Differential Connectivity Analysis2019-10-01T16:17:41+00:00
https://arxiv.org/abs/1909.13464
cshalizito:NB network_data_analysis hypothesis_testing two-sample_tests statistics re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:612fcc0d1d37/[1707.00833] Two-sample Hypothesis Testing for Inhomogeneous Random Graphs2019-07-18T10:54:20+00:00
https://arxiv.org/abs/1707.00833
cshaliziρ. We observe that if m is small, then the minimax separation is too large for some popular choices of d, including total variation distance between corresponding distributions. This implies that some models that are widely separated in d cannot be distinguished for small m, and hence, the testing problem is generally not solvable in these cases.
"We also show that if m>1, then the minimax separation is relatively small if d is the Frobenius norm or operator norm distance between P and Q. For m=1, only the latter distance provides small minimax separation. Thus, for these distances, the problem is solvable for small m. We also present near-optimal two-sample tests in both cases, where tests are adaptive with respect to sparsity level of the graphs."]]>hypothesis_testing network_data_analysis statistics re:network_differences to_read in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:96f336abd219/[1701.00505] Statistical inference for network samples using subgraph counts2019-05-30T16:04:10+00:00
https://arxiv.org/abs/1701.00505
cshalizito:NB to_read network_data_analysis graphical_models re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:f26ad51997c2/[1905.11249] Network properties of healthy and Alzheimer's brains2019-05-28T16:49:29+00:00
https://arxiv.org/abs/1905.11249
cshalizito:NB neural_data_analysis network_data_analysis re:network_differences statisticshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:8a139ad87659/[1905.10302] Monitoring dynamic networks: a simulation-based strategy for comparing monitoring methods and a comparative study2019-05-27T15:14:26+00:00
https://arxiv.org/abs/1905.10302
cshalizito:NB network_data_analysis change-point_problem re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:d8cd4917ec41/[1812.03090] Change Point Estimation in a Dynamic Stochastic Block Model2019-05-10T03:34:33+00:00
https://arxiv.org/abs/1812.03090
cshalizito:NB re:network_differences network_data_analysis statistics change-point_problemhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:5f7b8989eab9/[1904.07414] Metrics for Graph Comparison: A Practitioner's Guide2019-05-10T03:14:52+00:00
https://arxiv.org/abs/1904.07414
cshalizito:NB network_data_analysis to_teach:baby-nets re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:e9b4662019cf/[1903.02129] Graph-aware linear mixed effects models for brain connectivity networks2019-04-11T00:32:54+00:00
https://arxiv.org/abs/1903.02129
cshalizito:NB network_data_analysis levina.elizaveta statistics neuroscience re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:a4eceadcc3e5/[1904.03348] Goodness of Fit Testing for Dynamic Networks2019-04-11T00:09:18+00:00
https://arxiv.org/abs/1904.03348
cshalizito:NB network_data_analysis statistics goodness-of-fit re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:886408724918/[1801.07351] Tracking network dynamics: a survey of distances and similarity metrics2019-01-14T21:17:52+00:00
https://arxiv.org/abs/1801.07351
cshalizito:NB network_data_analysis re:network_differences holmes.susan to_teach:baby-netshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:162b8af99015/[1809.02512] Multi-level hypothesis testing for populations of heterogeneous networks2018-09-19T14:25:08+00:00
https://arxiv.org/abs/1809.02512
cshalizito_read re:network_differences network_data_analysis statistics hypothesis_testing functional_connectivity neuroscience neville.jennifer in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:062f9a168404/[1804.03665] An information-theoretic, all-scales approach to comparing networks2018-04-16T13:18:27+00:00
https://arxiv.org/abs/1804.03665
cshalizito_read statistics re:network_differences information_theory bollt.erik_m. in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:bcad15316737/[1711.02123] Consistency of Maximum Likelihood for Continuous-Space Network Models2017-11-08T16:05:51+00:00
https://arxiv.org/abs/1711.02123
cshaliziin_NB network_data_analysis statistics self-promotion to:blog re:network_differences re:hyperbolic_networks to_teach:baby-netshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:d1f0f5a5f14c/Murder by Structure: Dominance Relations and the Social Structure of Gang Homicide: American Journal of Sociology: Vol 115, No 12017-08-26T16:54:41+00:00
http://www.journals.uchicago.edu/doi/10.1086/597791
cshalizito:NB have_read social_networks violence contagion social_influence sociology re:network_differences honor re:homophily_and_confoundinghttps://pinboard.in/https://pinboard.in/u:cshalizi/b:5285fbb6155d/[1311.6425] Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching2016-12-01T20:28:23+00:00
https://arxiv.org/abs/1311.6425
cshalizito:NB to_read network_comparison graph_theory network_data_analysis statistics information_theory re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:596102d3a2b4/[1202.1561] Tree models for difference and change detection in a complex environment2016-11-30T01:56:46+00:00
https://arxiv.org/abs/1202.1561
cshalizidecision_trees statistics re:network_differences have_read in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:047cb0ac88d5/Modeling homophily and stochastic equivalence in symmetric relational data2016-05-10T17:44:22+00:00
http://papers.nips.cc/paper/3294-modeling-homophily-and-stochastic-equivalence-in-symmetric-relational-data
cshalizinetwork_data_analysis re:network_differences statistics hoff.peter community_discovery inference_to_latent_objects cross-validation re:XV_for_networks have_read in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:2af1af617696/[1511.02976] Dynamic fluctuations in global brain network topology characterize functional states during rest and behavior2016-02-15T21:09:17+00:00
http://arxiv.org/abs/1511.02976
cshalizito:NB to_read functional_connectivity neural_data_analysis neuroscience network_data_analysis re:network_differences poldrack.russellhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:e6b27240f6c4/[1602.01130] GraphPrints: Towards a Graph Analytic Method for Network Anomaly Detection2016-02-09T02:45:20+00:00
http://arxiv.org/abs/1602.01130
cshalizito:NB network_data_analysis re:network_differences statistics data_mining color_me_skepticalhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:0d2c0cc1a9ec/[1507.08376] A Joint Graph Inference Case Study: the C.elegans Chemical and Electrical Connectomes2015-08-06T00:18:38+00:00
http://arxiv.org/abs/1507.08376
cshalizito:NB neuroscience network_data_analysis statistics re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:294a15edf530/Network Hypothesis Testing Using Mixed Kronecker Product Graph Models2015-07-16T00:16:09+00:00
https://www.cs.purdue.edu/homes/neville/papers/moreno-icdm2013.pdf
cshalizito_read network_data_analysis hypothesis_testing statistics neville.jennifer re:network_differences in_NB to_teach:graphonshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:69a71045b426/[1506.08826] Statistical Inference using the Morse-Smale Complex2015-07-14T09:42:40+00:00
http://arxiv.org/abs/1506.08826
cshalizito:NB statistics nonparametrics re:network_differences wasserman.larry genovese.christopher chen.yen-chi kith_and_kin topologyhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:c801183db311/[1506.00669] Concentration and regularization of random graphs2015-06-03T15:14:14+00:00
http://arxiv.org/abs/1506.00669
cshalizito_read concentration_of_measure graph_theory graph_limits re:smoothing_adjacency_matrices re:network_differences in_NB via:mraginskyhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:c32f3b03c787/Altered resting state complexity in schizophrenia. - PubMed - NCBI2015-03-30T16:51:52+00:00
http://www.ncbi.nlm.nih.gov/pubmed/22008374
cshalizito:NB complexity_measures functional_connectivity schizophrenia neuroscience network_data_analysis fmri re:network_differences bassett.danielle_s.https://pinboard.in/https://pinboard.in/u:cshalizi/b:eca9200a964d/On convex relaxation of graph isomorphism2015-03-12T01:10:15+00:00
http://www.pnas.org/content/112/10/2942.abstract.html
cshalizigraph_theory computational_complexity optimization convexity network_data_analysis re:network_differences in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:ba1653300c14/[1502.07576] Comparison Issues in Large Graphs: State of the Art and Future Directions2015-03-03T19:23:15+00:00
http://arxiv.org/abs/1502.07576
cshalizinetwork_data_analysis network_differences re:network_differences to_read via:vaguery in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:600e734dca88/[1409.2344] A nonparametric two-sample hypothesis testing problem for random dot product graphs2015-01-20T13:33:07+00:00
http://arxiv.org/abs/1409.2344
cshalizinetwork_data_analysis hypothesis_testing two-sample_tests re:network_differences statistics to_read in_NB to_teach:graphonshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:041f7a5d64d9/[1409.4317] Bootstrap-based testing for functional data2015-01-20T04:19:47+00:00
http://arxiv.org/abs/1409.4317
cshalizito:NB functional_data_analysis hypothesis_testing bootstrap statistics re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:96e9a8c288f3/[1405.3133] Graph Matching: Relax at Your Own Risk2015-01-20T04:12:02+00:00
http://arxiv.org/abs/1405.3133
cshalizigraph_theory network_data_analysis optimization re:network_differences in_NBhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:2937fbd143b8/[1407.5525] Hypothesis Testing For Network Data in Functional Neuroimaging2015-01-20T02:42:11+00:00
http://arxiv.org/abs/1407.5525
cshalizito:NB to_read functional_connectivity fmri neuroscience network_data_analysis re:network_differences kolaczyk.erichttps://pinboard.in/https://pinboard.in/u:cshalizi/b:7654ccf6898d/[1411.1350] Geometric Network Comparison2015-01-19T21:13:17+00:00
http://arxiv.org/abs/1411.1350
cshaliziin_NB self-promotion network_differences re:network_differences statistics asta.dena kith_and_kinhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:713b3014c455/[1411.1437] Higher Criticism: p-values and Criticism2015-01-19T21:12:17+00:00
http://arxiv.org/abs/1411.1437
cshalizito:NB hypothesis_testing multiple_testing statistics re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:cfbb55332a61/Toward a Multisubject Analysis of Neural Connectivity2014-12-29T02:04:33+00:00
http://www.mitpressjournals.org/doi/abs/10.1162/NECO_a_00690
cshalizito:NB graphical_models neuroscience functional_connectivity neural_data_analysis nichols.tom_e. re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:2dc85589353c/Network dynamics of the brain and influence of the epileptic seizure onset zone2014-12-17T15:38:51+00:00
http://www.pnas.org/content/111/49/E5321.abstract.html?etoc
cshalizito:NB functional_connectivity neural_data_analysis neuroscience network_data_analysis re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:8bb76db78208/Decreased segregation of brain systems across the healthy adult lifespan2014-11-22T03:21:14+00:00
http://www.pnas.org/content/111/46/E4997.abstract.html?etoc
cshalizito:NB neuroscience functional_connectivity re:network_differenceshttps://pinboard.in/https://pinboard.in/u:cshalizi/b:b47597ac4ae4/Higher criticism in the context of unknown distribution, non-independence and classification2014-10-18T01:57:19+00:00
http://www.ms.unimelb.edu.au/~aurored/delaigle-hall-hc4.pdf
cshalizito:NB have_skimmed multiple_testing statistics hall.peter hypothesis_testing statistical_inference_for_stochastic_processes re:network_differences to:bloghttps://pinboard.in/https://pinboard.in/u:cshalizi/b:af36b1673db7/[math/0410072] Higher criticism for detecting sparse heterogeneous mixtures2014-10-18T01:04:15+00:00
http://arxiv.org/abs/math/0410072
cshalizito:NB multiple_testing hypothesis_testing empirical_processes statistics donoho.david jin.jiashun tukey.john_w. have_read re:network_differences to:bloghttps://pinboard.in/https://pinboard.in/u:cshalizi/b:1877e29a7c8c/[1001.0591] Comparing Distributions and Shapes using the Kernel Distance2014-10-16T15:15:28+00:00
http://arxiv.org/abs/1001.0591
cshalizito:NB kernel_estimators two-sample_tests statistics probability re:network_differences have_readhttps://pinboard.in/https://pinboard.in/u:cshalizi/b:4ffff8f257a3/