Pinboard (cshalizi) https://pinboard.in/u:cshalizi/public/ recent bookmarks from cshalizi Exponential Families on Abstract Affine Spaces (Geyer, 2024) 2024-04-29T17:35:50+00:00 https://www.stat.umn.edu/geyer/8931expfam/newnew.pdf cshalizito:NB exponential_families geyer.charles_j. mathematics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:6baaf2bae286/ [2111.14152] An inverse Sanov theorem for exponential families 2022-06-19T17:06:01+00:00 https://arxiv.org/abs/2111.14152 cshalizi bayesian_consistency statistics large_deviations to_read re:bayes_as_evol exponential_families in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:cc076a9e954b/ Total positivity in exponential families with application to binary variables 2021-08-10T14:09:30+00:00 https://projecteuclid.org/journals/annals-of-statistics/volume-49/issue-3/Total-positivity-in-exponential-families-with-application-to-binary-variables/10.1214/20-AOS2007.short cshalizi to_read exponential_families graphical_models uhler.caroline lauritzen.steffen of_course_its_really_a_spin_glass in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c1464c953dee/ [2106.10496] The Tangent Exponential Model 2021-06-24T21:12:06+00:00 https://arxiv.org/abs/2106.10496 cshalizi to:NB likelihood exponential_families statistics re:HEAS https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ed7c6b92148c/ [2105.05106] A General Derivative Identity for the Conditional Expectation with Focus on the Exponential Family 2021-05-12T18:19:13+00:00 https://arxiv.org/abs/2105.05106 cshalizi to:NB probability to_read exponential_families https://pinboard.in/ https://pinboard.in/u:cshalizi/b:271b96239ee0/ [2012.15480] Likelihood Ratio Exponential Families 2021-01-19T18:50:53+00:00 https://arxiv.org/abs/2012.15480 cshalizi to:NB exponential_families likelihood information_theory information_geometry galstyan.aram ver_steeg.greg to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:790cf9c3e391/ The potential of likelihood-free inference of cosmological parameters with weak lensing data | Proceedings of the International Astronomical Union | Cambridge Core 2020-12-13T23:58:29+00:00 https://www.cambridge.org/core/journals/proceedings-of-the-international-astronomical-union/article/potential-of-likelihoodfree-inference-of-cosmological-parameters-with-weak-lensing-data/0E1FEF317A0C09039B52C8791E63670D cshalizi have_read heard_the_talk approved_the_thesis astronomy approximate_bayesian_computation sufficiency exponential_families dimension_reduction simulation-based_estimation statistics in_NB re:codename:catherine_wheel https://pinboard.in/ https://pinboard.in/u:cshalizi/b:af0f8495eafc/ Statistical modelling with exponential families | Statistical theory and methods | Cambridge University Press 2020-01-09T17:46:09+00:00 https://www.cambridge.org/9781108701112 cshalizi in_NB exponential_families statistics books:noted books:suggest_to_library https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b8b44d223ee7/ [1910.13398] Stein's Lemma for the Reparameterization Trick with Exponential Family Mixtures 2019-10-30T13:34:12+00:00 https://arxiv.org/abs/1910.13398 cshalizi to:NB probability exponential_families https://pinboard.in/ https://pinboard.in/u:cshalizi/b:31bd83997d38/ [1811.01394] A method to construct exponential families by representation theory 2019-08-20T14:52:48+00:00 https://arxiv.org/abs/1811.01394 cshalizi to:NB exponential_families algebra statistics probability https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a09d7a1b1a6b/ Statistical modelling with exponential families 2019-05-14T23:35:03+00:00 https://www.cambridge.org/us/academic/subjects/statistics-probability/statistical-theory-and-methods/statistical-modelling-exponential-families?format=PB&WT.mc_id=LFA-STA-CL-ComingSoon%2B-April-2019 cshalizi books:noted exponential_families exponential_family_random_graphs statistical_mechanics statistics in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:71929c6f2d1c/ 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/ [1406.0423] Targeted Maximum Likelihood Estimation using Exponential Families 2017-10-04T17:35:18+00:00 https://arxiv.org/abs/1406.0423 cshalizi to:NB statistics estimation nonparametrics causal_inference exponential_families https://pinboard.in/ https://pinboard.in/u:cshalizi/b:216e754c640e/ [1210.6516] The RKHS Approach to Minimum Variance Estimation Revisited: Variance Bounds, Sufficient Statistics, and Exponential Families 2016-12-01T20:22:46+00:00 https://arxiv.org/abs/1210.6516 cshalizi hilbert_space estimation statistics sufficiency exponential_families in_NB cramer-rao_inequality https://pinboard.in/ https://pinboard.in/u:cshalizi/b:83ff304feed7/ Geiger , Heckerman , King , Meek : Stratified exponential families: Graphical models and model selection 2016-07-08T15:18:25+00:00 https://projecteuclid.org/euclid.aos/1009210550 cshalizi to:NB have_read graphical_models exponential_families statistics geometry via:rvenkat https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4a247e15daf6/ Estimating the Partition Function by Discriminance Sampling 2015-07-15T13:51:00+00:00 http://auai.org/uai2015/proceedings/papers/120.pdf cshalizi heard_the_talk computational_statistics exponential_families statistics monte_carlo classifiers in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a99f09e5c6f8/ Evans , Richardson : Markovian acyclic directed mixed graphs for discrete data 2015-02-23T07:23:06+00:00 http://projecteuclid.org/euclid.aos/1407420005 cshalizi graphical_models probability richardson.thomas exponential_families in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:0a97151e6bcb/ Mixed Graphical Models via Exponential Families | AISTATS 2014 | JMLR W&CP 2014-04-15T12:34:15+00:00 http://jmlr.org/proceedings/papers/v33/yang14a.html cshalizi to:NB graphical_models exponential_families statistics ravikumar.pradeep allen.genevera_i. color_me_skeptical https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a7f1acf01551/ [1401.3814] Information Geometry Approach to Parameter Estimation in Markov Chains 2014-03-10T02:16:31+00:00 http://arxiv.org/abs/1401.3814 cshalizi to:NB markov_models exponential_families information_geometry statistical_inference_for_stochastic_processes statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b45a741c4372/ Conditional Random Fields via Univariate Exponential Families 2014-01-04T03:34:39+00:00 http://papers.nips.cc/paper/5154-conditional-random-fields-via-univariate-exponential-families cshalizi random_fields exponential_families graphical_models statistics in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2dedac961c9a/ [1312.3625] Efficient prediction in $L^2$-differentiable families of distributions 2013-12-16T01:52:02+00:00 http://arxiv.org/abs/1312.3625 cshalizi to:NB prediction statistics exponential_families cramer-rao_inequality https://pinboard.in/ https://pinboard.in/u:cshalizi/b:245f43a4cb9c/ [1208.2992] Critical phenomena in exponential random graphs 2013-09-23T13:16:41+00:00 http://arxiv.org/abs/1208.2992 cshalizi exponential_families exponential_family_random_graphs phase_transitions statistical_mechanics in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:70573f5d6bab/ [1212.2512] A Generalized Mean Field Algorithm for Variational Inference in Exponential Families 2013-09-10T19:09:29+00:00 http://arxiv.org/abs/1212.2512 cshalizi have_read graphical_models exponential_families statistics variational_inference computational_statistics statistical_mechanics xing.eric jordan.michael_i. in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4a4b2728d3e1/ Frontiers | Missing Mass Approximations for the Partition Function of Stimulus Driven Ising Models | Frontiers in Computational Neuroscience 2013-07-02T14:56:21+00:00 http://www.frontiersin.org/Computational_Neuroscience/10.3389/fncom.2013.00096/abstract cshalizi to:NB heard_the_talk kith_and_kin haslinger.rob computational_statistics exponential_families neuroscience neural_coding_and_decoding statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:6abffa0eb4e8/ [1306.3061] Searching for collective behavior in a network of real neurons 2013-06-17T18:26:03+00:00 http://arxiv.org/abs/1306.3061 cshalizi to:NB neural_data_analysis neural_coding_and_decoding exponential_families bialek.william statistics neuroscience https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1144712066f0/ Shalizi , Rinaldo : Consistency under sampling of exponential random graph models 2013-04-26T15:02:50+00:00 http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.aos/1366980556 cshalizi in_NB have_written exponential_families exponential_family_random_graphs network_data_analysis blogged statistics stochastic_processes estimation re:your_favorite_ergm_sucks https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ca93c18cfb07/ Dou , Pollard , Zhou : Estimation in functional regression for general exponential families 2013-02-18T19:11:07+00:00 http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.aos/1359987526 cshalizi to:NB regression exponential_families functional_data_analysis statistics pollard.david https://pinboard.in/ https://pinboard.in/u:cshalizi/b:476ca957d930/ [1207.4814] Automorphism Groups of Graphical Models and Lifted Variational Inference 2012-07-31T01:35:57+00:00 http://arxiv.org/abs/1207.4814 cshalizi to:NB graphical_models exponential_families identifiability statistics algebra https://pinboard.in/ https://pinboard.in/u:cshalizi/b:60d94b6ef329/ Sequential Anomaly Detection in the Presence of Noise and Limited Feedback 2012-07-13T00:46:37+00:00 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6208875 cshalizi statistics time_series statistical_inference_for_stochastic_processes information_theory exponential_families anomaly_detection raginsky.maxim to:blog have_read kith_and_kin ia!_ia!_raginsky_fhtagn! willett.rebecca_m. https://pinboard.in/ https://pinboard.in/u:cshalizi/b:5e48618c116b/ Lockhart : Conditional limit laws for goodness-of-fit tests 2012-06-28T13:06:44+00:00 http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.bj/1340887006 cshalizi goodness-of-fit bootstrap statistics exponential_families in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1f0347905cdf/ [1206.5036] Estimating Densities with Non-Parametric Exponential Families 2012-06-26T13:52:23+00:00 http://arxiv.org/abs/1206.5036 cshalizi density_estimation exponential_families exponential_family_random_graphs kirshner.sergey sufficiency statistics nonparametrics have_read in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:266a70b1c778/ [1206.2689] Approximation algorithms for the normalizing constant of Gibbs distributions 2012-06-23T15:02:43+00:00 http://arxiv.org/abs/1206.2689 cshalizi= 1. This is a sharp improvement over previous similar approaches, which used a much more complicated algorithm requiring O(ln(Z(beta)) ln(ln(Z(beta)))^5) samples."]]> statistical_mechanics exponential_families computational_statistics monte_carlo in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a333ae51b995/ [1206.3985] Computing the Cramer-Rao bound of Markov random field parameters: Application to the Ising and the Potts models 2012-06-19T14:33:48+00:00 http://arxiv.org/abs/1206.3985 cshalizi spatial_statistics random_fields markov_models fisher_information exponential_families statistics in_NB cramer-rao_inequality https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8d34c4c6630e/ [0804.3010] Generalized SURE for Exponential Families: Applications to Regularization 2012-06-10T22:14:29+00:00 http://arxiv.org/abs/0804.3010 cshalizi statistics exponential_families estimation in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:63eac3ec2507/ Posterior Concentration Rates for Infinite Dimensional Exponential Families 2012-06-07T15:56:12+00:00 http://ba.stat.cmu.edu/journal/2012/vol07/issue02/rousseau.pdf cshalizi to_read exponential_families bayesian_consistency nonparametrics statistics in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:31c2704cf514/ Okabayashi , Geyer : Long range search for maximum likelihood in exponential families 2012-02-03T19:34:28+00:00 http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.ejs/1328280900 cshalizi statistics exponential_families exponential_family_random_graphs network_data_analysis estimation monte_carlo optimization in_NB geyer.charles_j. https://pinboard.in/ https://pinboard.in/u:cshalizi/b:70fc4a382c1e/ [1111.3054] Consistency under Sampling of Exponential Random Graph Models 2011-11-15T01:51:36+00:00 http://arxiv.org/abs/1111.3054 cshalizi in_NB self-promotion exponential_family_random_graphs exponential_families statistical_inference_for_stochastic_processes statistics network_data_analysis re:your_favorite_ergm_sucks estimation large_deviations https://pinboard.in/ https://pinboard.in/u:cshalizi/b:91aa839dd6dc/ [1111.0483] Optimally approximating exponential families 2011-11-04T18:23:42+00:00 http://arxiv.org/abs/1111.0483 cshalizi0$. A particular class of low-dimensional exponential families that have low values of $D$ can be obtained from partitions of the state space. The main results concern optimality properties of these partition exponential families. Exponential families where $D=log(2)$ are studied in detail. This case is special, because if $D exponential_families probability information_theory approximation in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f039915389ec/ Generative Kernels for Exponential Families 2011-11-01T12:29:05+00:00 http://jmlr.csail.mit.edu/proceedings/papers/v15/agarwal11b.html cshalizi kernel_methods exponential_families machine_learning in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:bf5b9568f4aa/ [0812.0449] Locally adaptive estimation methods with application to univariate time series 2011-07-23T14:27:32+00:00 http://arxiv.org/abs/0812.0449 cshalizi time_series statistics estimation exponential_families non-stationarity to:NB https://pinboard.in/u:cshalizi/b:0ee7b4d3022f/ Wainwright and Jordan: Graphical Models, Exponential Families, and Variational Inference 2011-07-19T13:32:51+00:00 http://www.nowpublishers.com/product.aspx?product=MAL&doi=2200000001 cshalizi exponential_families graphical_models statistics machine_learning expectation-maximization to_read jordan.michael_i. variational_inference wainwright.martin_j. via:mraginsky https://pinboard.in/u:cshalizi/b:38db1c0ad0f9/ Exponential Family Predictive Representations of State 2011-04-03T00:05:13+00:00 https://papers.nips.cc/paper/3177-exponential-family-predictive-representations-of-state cshalizito_read exponential_families machine_learning re:AoS_project tin_NB baveja.satinder_singh predictive_states https://pinboard.in/u:cshalizi/b:d590e6aa33e8/ [1102.2684] Chernoff information of exponential families 2011-02-16T20:06:28+00:00 http://arxiv.org/abs/1102.2684 cshaliziexponential_families statistics information_theory hypothesis_testing https://pinboard.in/u:cshalizi/b:38455e26536c/ Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity 2010-08-31T17:42:29+00:00 http://jmlr.csail.mit.edu/proceedings/papers/v9/kakade10a.html cshalizidensity_estimation exponential_families statistics sparsity https://pinboard.in/u:cshalizi/b:18bf85dac416/ Sparse coding and high-order correlations in fine-scale cortical networks : Nature : Nature Publishing Group 2010-07-28T18:01:38+00:00 http://www.nature.com/nature/journal/v466/n7306/abs/nature09178.html cshalizineural_data_analysis exponential_families to_read to:NB neural_coding_and_decoding https://pinboard.in/u:cshalizi/b:e0df9320e47f/ [0903.0127] Prediction of spatio-temporal patterns of neural activity from pairwise correlations 2010-05-03T12:48:06+00:00 http://arxiv.org/abs/0903.0127 cshalizimarkov_models random_fields exponential_families neural_data_analysis functional_connectivity https://pinboard.in/u:cshalizi/b:25d705b693da/ [1003.3157] Entropy-based parametric estimation of spike train statistics 2010-03-17T15:36:17+00:00 http://arxiv.org/abs/1003.3157 cshalizi exponential_families neural_data_analysis https://pinboard.in/u:cshalizi/b:e78c9e55eddb/ [1003.0696] Exponential Family Hybrid Semi-Supervised Learning 2010-03-04T16:53:07+00:00 http://arxiv.org/abs/1003.0696 cshalizisemi-supervised_learning statistics exponential_families re:naive-semi-supervised https://pinboard.in/u:cshalizi/b:ce6c331dbd29/ [1001.3742] Functional Regression for General Exponential Families 2010-01-22T05:15:18+00:00 http://arxiv.org/abs/1001.3742 cshalizistatistics regression nonparametrics exponential_families minimax https://pinboard.in/u:cshalizi/b:e852c22baf4b/ Sequential Anomaly Detection in the Presence of Noise and Limited Feedback (Raginsky et al., submitted 2009) 2009-11-17T13:11:10+00:00 http://people.ee.duke.edu/~maxim/pubs/raginsky_marcia_silva_willett_JMLR09.pdf cshalizi statistics time_series statistical_inference_for_stochastic_processes information_theory exponential_families anomaly_detection raginsky.maxim to:blog have_read in_NB willett.rebecca_m. https://pinboard.in/u:cshalizi/b:2c5b58e12ff1/ [0910.5561] Distinguishing Cause and Effect via Second Order Exponential Models 2009-11-06T01:18:50+00:00 http://arxiv.org/abs/0910.5561 cshalizicausal_inference graphical_models exponential_families janzing.dominik heard_the_talk https://pinboard.in/u:cshalizi/b:45718f1ec575/ Sequential Probability Assignment Via Online Convex Programming Using Exponential Families (Raginsky, Marcia, Silva and Willett) 2009-10-27T04:26:29+00:00 http://people.ee.duke.edu/~willett/papers/raginsky_marcia_silva_willett_ISIT09.pdf cshalizi have_read statistics statistical_inference_for_stochastic_processes exponential_families information_theory prediction minimax optimization to:blog raginsky.maxim online_learning in_NB willett.rebecca_m. low-regret_learning https://pinboard.in/u:cshalizi/b:ccb45ba35efd/ [0904.3132] Posterior Inference in Curved Exponential Families under Increasing Dimensions 2009-04-22T23:47:06+00:00 http://arxiv.org/abs/0904.3132 cshalizistatistics exponential_families re:bayes_as_evol in_NB https://pinboard.in/u:cshalizi/b:0333d9ae4a8c/ Lawrence D. Brown Fundamentals of statistical exponential families with applications in statistical decision theory 2009-02-18T03:57:22+00:00 http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&page=toc&handle=euclid.lnms/1215466757 cshalizi exponential_families statistics books:recommended brown.lawrence https://pinboard.in/u:cshalizi/b:cdd2eec15bc9/ [0901.0026] On the Geometry of Discrete Exponential Families with Application to Exponential Random Graph Models 2009-02-06T20:57:05+00:00 http://arxiv.org/abs/0901.0026 cshaliziexponential_families network_data_analysis kith_and_kin algebraic_statistics re:XV_for_networks rinaldo.alessandro have_skimmed fienberg.stephen_e. https://pinboard.in/u:cshalizi/b:b7c0d39acda3/ Stratified exponential families: Graphical models and model selection 2009-01-11T20:22:43+00:00 http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.aos/1009210550 cshalizigraphical_models exponential_families latent_variables https://pinboard.in/u:cshalizi/b:65bc3eebc64a/ Correction: Approximation of Density Functions by Sequences of Exponential Families - JSTOR: The Annals of Statistics, Vol. 19, No. 4 (Dec., 1991 ), pp. 2284-2284 2008-06-04T16:06:22+00:00 http://www.jstor.org/sici?sici=0090-5364(199112)19:4%3C2284:CAODFB%3E2.0.CO%3B2-R&origin=MSN cshalizistatistics exponential_families density_estimation sheu.chyong-hwa barron.andrew_w. https://pinboard.in/u:cshalizi/b:0dd8a6fc9133/ Approximation of Density Functions by Sequences of Exponential Families - Barron and Sheu 2008-06-04T16:04:48+00:00 http://projecteuclid.org/euclid.aos/1176348252 cshalizistatistics exponential_families density_estimation sheu.chyong-hwa barron.andrew_w. https://pinboard.in/u:cshalizi/b:c6b7120b945e/ Journal of Statistical Software — Special Issue on Statnet 2008-05-20T18:37:48+00:00 http://www.jstatsoft.org/v24 cshalizi network_data_analysis computational_statistics exponential_families morris.martina goodreau.steven_m bender-de_moll.skye moody.james handcock.mark butts.carter_t. hunter.david_r. https://pinboard.in/u:cshalizi/b:edb19fc0d47b/ Models for Longitudinal Network Data 2008-04-21T21:24:25+00:00 http://stat.gamma.rug.nl/snijders/cup_ch11.pdf cshalizi network_data_analysis exponential_families markov_models to_teach:complexity-and-inference snijders.t.a.b. https://pinboard.in/u:cshalizi/b:c0836b874717/ The Role of Sufficiency and of Estimation in Thermodynamics (Mandelbrot, 1962) 2008-02-29T02:14:01+00:00 http://math.yale.edu/mandelbrot/web_pdfs/029sufficiencyandestimation.pdf cshalizi statistics statistical_mechanics exponential_families sufficiency gibbs_distributions mandelbrot.benoit https://pinboard.in/u:cshalizi/b:f03a05393136/ The Role of Sufficiency and of Estimation in Thermodynamics (Mandelbrot, 1962) 2008-02-28T15:32:42+00:00 http://links.jstor.org/sici?sici=0003-4851(196209)33%3A3%3C1021%3ATROSAO%3E2.0.CO%3B2-N cshalizi statistics statistical_mechanics exponential_families sufficiency gibbs_distributions mandelbrot.benoit https://pinboard.in/u:cshalizi/b:86abd11226a8/ [0708.3411] On causally asymmetric versions of Occam's Razor and their relation to thermodynamics 2007-11-22T04:36:05+00:00 http://arxiv.org/abs/0708.3411 cshalizithermodynamics causality occams_razor to:blog arrow_of_time exponential_families have_read janzing.dominik https://pinboard.in/u:cshalizi/b:960c927165bd/ [0709.0447] Local mixture models of exponential families 2007-11-15T13:58:48+00:00 http://arxiv.org/abs/0709.0447 cshalizistatistics exponential_families mixture_models in_NB https://pinboard.in/u:cshalizi/b:a2373dda5549/