Pinboard (cshalizi) https://pinboard.in/u:cshalizi/public/ recent bookmarks from cshalizi [2501.15896] A mirror descent approach to maximum likelihood estimation in latent variable models 2025-02-03T00:31:16+00:00 https://arxiv.org/abs/2501.15896 cshalizi to:NB computational_statistics optimization latent_variables em_algorithm https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4996f85a32ed/ [2012.05269] Hard and Soft EM in Bayesian Network Learning from Incomplete Data 2020-12-12T18:13:27+00:00 https://arxiv.org/abs/2012.05269 cshalizi to:NB missing_data causal_discovery graphical_models em_algorithm statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4910988c3fe1/ Dwivedi , Ho , Khamaru , Wainwright , Jordan , Yu : Singularity, misspecification and the convergence rate of EM 2020-12-11T17:29:46+00:00 https://projecteuclid.org/euclid.aos/1607677231 cshalizi to:NB em_algorithm mixture_models statistics misspecification jordan.michael_i. yu.bin wainwright.martin_j. https://pinboard.in/ https://pinboard.in/u:cshalizi/b:20670a01bf4c/ [1710.08511] An Expectation Maximization Framework for Yule-Simon Preferential Attachment Models 2020-11-18T17:18:09+00:00 https://arxiv.org/abs/1710.08511 cshalizi to:NB estimation em_algorithm heavy_tails statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b20d7aa0a1ee/ [1907.03783] Comparing EM with GD in Mixture Models of Two Components 2019-10-30T13:41:37+00:00 https://arxiv.org/abs/1907.03783 cshalizi to:NB mixture_models em_algorithm optimization computational_statistics statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:aadd0dd5820a/ [1906.09410] A reaction network scheme which implements inference and learning for Hidden Markov Models 2019-08-20T15:27:24+00:00 https://arxiv.org/abs/1906.09410 cshalizi to:NB em_algorithm markov_models state-space_models biochemical_networks wiuf.carsten pointless_but_nonetheless_awesome biological_computers https://pinboard.in/ https://pinboard.in/u:cshalizi/b:df0502950c8a/ An Expectation Conditional Maximization Approach for Gaussian Graphical Models: Journal of Computational and Graphical Statistics: Vol 0, No 0 2019-06-23T17:27:57+00:00 https://www.tandfonline.com/doi/full/10.1080/10618600.2019.1609976 cshalizi to:NB graphical_models causal_discovery em_algorithm computational_statistics statistics mccormick.tyler https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9e6660cb9d63/ Taylor & Francis Online :: Generalized Linear Factor Models: A New Local EM Estimation Algorithm - Communications in Statistics - Theory and Methods - Volume 42, Issue 16 2015-04-20T00:48:20+00:00 http://www.tandfonline.com/doi/abs/10.1080/03610926.2013.790450#.VTRKX85_SF4 cshalizi statistics factor_analysis em_algorithm in_NB have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ca4cd201ee4f/ [1409.4813] Identification of core-periphery structure in networks 2014-11-22T16:58:46+00:00 http://arxiv.org/abs/1409.4813 cshalizi to:NB network_data_analysis statistics em_algorithm kith_and_kin newman.mark to_teach:baby-nets https://pinboard.in/ https://pinboard.in/u:cshalizi/b:724b4e8923a5/ Vidyasagar, M.: Hidden Markov Processes: Theory and Applications to Biology 2014-10-02T20:16:09+00:00 http://press.princeton.edu/titles/10286.html cshalizi books:noted markov_models state-space_models em_algorithm large_deviations stochastic_processes statistical_inference_for_stochastic_processes statistics genomics bioinformatics books:owned in_NB vidyasagar.mathukumalli https://pinboard.in/ https://pinboard.in/u:cshalizi/b:47a239958696/ Rydén : EM versus Markov chain Monte Carlo for estimation of hidden Markov models: a computational perspective 2014-07-31T13:21:49+00:00 http://projecteuclid.org/euclid.ba/1340370402 cshalizi to:NB em_algorithm monte_carlo markov_models state-space_models estimation statistics computational_statistics ryden.tobias https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a2dacf87ada3/ Learning Heterogeneous Hidden Markov Random Fields | AISTATS 2014 | JMLR W&CP 2014-04-20T17:46:32+00:00 http://jmlr.org/proceedings/papers/v33/liu14.html cshalizi to:NB markov_models random_fields statistics computational_statistics em_algorithm https://pinboard.in/ https://pinboard.in/u:cshalizi/b:082c1582939f/ LAMORE: A Stable, Scalable Approach to Latent Vector Autoregressive Modeling of Categorical Time Series | AISTATS 2014 | JMLR W&CP 2014-04-20T17:42:06+00:00 http://jmlr.org/proceedings/papers/v33/park14.html cshalizi to:NB time_series em_algorithm particle_filters statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:222eebdefe1f/ [1401.2490] An Online Expectation-Maximisation Algorithm for Nonnegative Matrix Factorisation Models 2014-03-10T01:28:57+00:00 http://arxiv.org/abs/1401.2490 cshalizi to:NB low-rank_approximation em_algorithm markov_models time_series statistics singh.sumeetpal https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3d558000643c/ Build, Compute, Critique, Repeat: Data Analysis with Latent Variable Models - Annual Review of Statistics and Its Application, 1(1):203 2014-01-16T00:03:34+00:00 http://www.annualreviews.org/doi/abs/10.1146/annurev-statistics-022513-115657 cshalizi to:NB inference_to_latent_objects statistics variational_inference em_algorithm blei.david model_checking to_read to_teach:undergrad-ADA entableted https://pinboard.in/ https://pinboard.in/u:cshalizi/b:631d0be465c3/ [1310.5034] A Theoretical and Experimental Comparison of the EM and SEM Algorithm 2013-10-23T14:26:47+00:00 http://arxiv.org/abs/1310.5034 cshalizi em_algorithm mixture_models statistics computational_statistics in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:49f2f3cbb147/ Taylor & Francis Online :: Nonparametric Mixture of Regression Models - Journal of the American Statistical Association - Volume 108, Issue 503 2013-09-30T17:45:58+00:00 http://www.tandfonline.com/doi/abs/10.1080/01621459.2013.772897#.Ukmy_RbPUlM cshalizi to:NB mixture_models ensemble_methods regression nonparametrics statistics em_algorithm to_teach:undergrad-ADA https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c403f3f21748/ [1307.5599] Performance comparison of State-of-the-art Missing Value Imputation Algorithms on Some Bench mark Datasets 2013-07-26T14:21:16+00:00 http://arxiv.org/abs/1307.5599 cshalizi to:NB inference_to_latent_objects em_algorithm missing_data imputation statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2e1e771e472a/ [1307.0253] Exploratory Learning 2013-07-02T03:19:48+00:00 http://arxiv.org/abs/1307.0253 cshalizi to:NB semi-supervised_learning em_algorithm machine_learning statistics inference_to_latent_objects kith_and_kin cohen.william_w. https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a8edd30a7cbd/ [1306.3185] Robust regression modeling and predictive recursion maximum likelihood 2013-06-27T15:00:42+00:00 http://arxiv.org/abs/1306.3185 cshalizi to:NB statistics regression nonparametrics density_estimation prediction em_algorithm https://pinboard.in/ https://pinboard.in/u:cshalizi/b:141f049599ea/ [1305.0626] An Improved EM algorithm 2013-05-07T22:16:36+00:00 http://arxiv.org/abs/1305.0626 cshalizi to:NB em_algorithm computational_statistics statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c3b2ad02cb35/ Le Corff , Fort : Online Expectation Maximization based algorithms for inference in Hidden Markov Models 2013-03-25T16:52:51+00:00 http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.ejs/1364220670 cshalizi to:NB time_series markov_models em_algorithm estimation filtering state_estimation state-space_models statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4c3bb13a47a2/ [1207.5938] Convergent Stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation 2012-08-24T13:41:31+00:00 http://arxiv.org/abs/1207.5938 cshalizi em_algorithm statistics machine_learning spatial_statistics in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c534c5a5cf05/ [1207.4162] ARMA Time-Series Modeling with Graphical Models 2012-08-08T23:40:23+00:00 http://arxiv.org/abs/1207.4162 cshalizi heard_the_talk time_series em_algorithm graphical_models to_teach:undergrad-ADA statistics in_NB have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1f5cda2e1f65/ Monotonically Overrelaxed EM Algorithms - Journal of Computational and Graphical Statistics - Volume 21, Issue 2 2012-06-23T14:59:11+00:00 http://www.tandfonline.com/doi/abs/10.1080/10618600.2012.672115 cshalizi to:NB em_algorithm computational_statistics statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ca1b21dcda6b/ [1206.4768] On Convergence Properties of the Monte Carlo EM Algorithm 2012-06-23T14:26:42+00:00 http://arxiv.org/abs/1206.4768 cshalizi em_algorithm monte_carlo statistics computational_statistics in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:0bbb1ae3f89c/ [1203.5181] $k$-MLE: A fast algorithm for learning statistical mixture models 2012-03-26T00:46:07+00:00 http://arxiv.org/abs/1203.5181 cshalizi em_algorithm mixture_models statistics machine_learning clustering estimation in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:d66ebc2993f6/ [0712.4273] Online EM Algorithm for Latent Data Models 2012-02-29T16:03:58+00:00 http://arxiv.org/abs/0712.4273 cshalizi to:NB statistics em_algorithm https://pinboard.in/ https://pinboard.in/u:cshalizi/b:581d145ba3e6/ Online Learning with Hidden Markov Models 2012-02-21T04:20:08+00:00 http://www.mitpressjournals.org/doi/abs/10.1162/neco.2008.10-06-351 cshalizi to:NB markov_models filtering state_estimation statistics em_algorithm https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a8088c3cdd66/ [1201.5913] A Component-wise EM Algorithm for Mixtures 2012-02-01T14:21:36+00:00 http://arxiv.org/abs/1201.5913 cshalizi statistics em_algorithm mixture_models in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ef597d6eeebe/ [1111.4954] Estimation for general birth-death processes 2011-11-23T12:54:56+00:00 http://arxiv.org/abs/1111.4954 cshalizi to:NB statistics statistical_inference_for_stochastic_processes em_algorithm https://pinboard.in/ https://pinboard.in/u:cshalizi/b:29ce451c04f4/ [1104.3590] An efficient and principled method for detecting communities in networks 2011-04-22T23:47:47+00:00 http://arxiv.org/abs/1104.3590 cshalizicommunity_discovery em_algorithm kith_and_kin newman.mark to_read https://pinboard.in/u:cshalizi/b:45a152930cd0/ A stable estimator of the information matrix under EM for dependent data 2010-12-19T15:12:18+00:00 http://www.springerlink.com/content/y70g818n051643g8/ cshalizi fisher_information em_algorithm estimation statistics to_teach:data-mining to_teach:undergrad-ADA https://pinboard.in/u:cshalizi/b:796f192dea9d/ Melnykov, Maitra: Finite mixture models and model-based clustering 2010-04-30T02:10:23+00:00 http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.ssu/1272547280 cshaliziclustering mixture_models statistics em_algorithm to_teach:data-mining to_teach:undergrad-ADA in_NB https://pinboard.in/u:cshalizi/b:39a5a28e16d8/ mixtools: An R Package for Analyzing Mixture Models 2009-10-24T23:25:29+00:00 http://www.jstatsoft.org/v32/i06/ cshaliziR programming mixture_models statistics to_teach:data-mining have_read regression clustering em_algorithm to_teach:undergrad-ADA https://pinboard.in/u:cshalizi/b:ac17f59676f3/ [0910.2034] Strategies for Online Inference of Model-Based Clustering in large Networks 2009-10-21T01:56:02+00:00 http://arxiv.org/abs/0910.2034 cshalizi community_discovery network_data_analysis em_algorithm to_read re:stacs https://pinboard.in/u:cshalizi/b:0618d2a4da35/ Spike Train Decoding without Spike Sorting (Ventura) 2008-02-24T04:17:40+00:00 http://www.mitpressjournals.org/doi/abs/10.1162/neco.2008.02-07-478 cshalizi em_algorithm neuroscience ventura.valerie have_read kith_and_kin neural_coding_and_decoding https://pinboard.in/u:cshalizi/b:b431bb056750/