Pinboard (arthegall) https://pinboard.in/u:arthegall/public/ recent bookmarks from arthegall [1706.00754] Computationally and statistically efficient learning of causal Bayes nets using path queries 2020-07-07T11:04:44+00:00 https://arxiv.org/abs/1706.00754 arthegallbayesian-networks arxiv research-article machinelearning causal-networks https://pinboard.in/ https://pinboard.in/u:arthegall/b:5d7a93ffd1a7/ [1404.1238] Exact Estimation of Multiple Directed Acyclic Graphs 2015-01-09T07:06:12+00:00 http://arxiv.org/abs/1404.1238 arthegallvia:? arxiv research-article graphical-models bayesian-networks james-cussens machinelearning https://pinboard.in/ https://pinboard.in/u:arthegall/b:2c9dcbca1be4/ GOBNILP 2015-01-09T07:05:45+00:00 http://www.cs.york.ac.uk/aig/sw/gobnilp/ arthegall bayesian-networks structure-learning integer-programming optimization machinelearning https://pinboard.in/ https://pinboard.in/u:arthegall/b:3d0b7a92b1cf/ Inference of Cancer Progression Models with Biological Noise | bioRxiv 2014-09-14T14:27:49+00:00 http://biorxiv.org/content/early/2014/08/25/008326 arthegall cancer oncology preprint research-article graphical-models bayesian-networks via:repko https://pinboard.in/ https://pinboard.in/u:arthegall/b:0226822f4c42/ [1301.0561] Finding Optimal Bayesian Networks 2013-06-28T15:08:24+00:00 http://arxiv.org/abs/1301.0561 arthegallbayesian-networks graphical-models arxiv research-article machinelearning saving https://pinboard.in/ https://pinboard.in/u:arthegall/b:632a5707d26c/ Lauritzen , Sheehan, "Graphical Models for Genetic Analyses" Statist. Sci. (2003) 2013-06-20T10:52:24+00:00 http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.ss/1081443232 arthegall genetics linkage-analysis peeling graphical-models steffen-lauritzen research-article statistics bayesian-networks https://pinboard.in/ https://pinboard.in/u:arthegall/b:b5309b432683/ [1304.7920] From Ordinary Differential Equations to Structural Causal Models: the deterministic case 2013-05-13T10:27:49+00:00 http://arxiv.org/abs/1304.7920 arthegall causality ode graphs bayesian-networks graphical-models arxiv https://pinboard.in/ https://pinboard.in/u:arthegall/b:32d6a0175cb7/ Sun, Hanson, Laskey, Twardy, "Probability and Asset Updating using Bayesian Networks for Combinatorial Prediction Markets" (arXiv) 2012-11-09T10:29:07+00:00 http://arxiv.org/abs/1210.4900 arthegall bayesian-networks prediction-markets research-article arxiv robin-hanson combinatorial-prediction-markets https://pinboard.in/ https://pinboard.in/u:arthegall/b:1aa6aaaae8c5/ Uhler, Raskutti, Buhlmann, "Geometry of faithfulness assumption in causal inference" (arXiv) 2012-08-15T09:42:13+00:00 http://arxiv.org/abs/1207.0547 arthegall via:cshalizi research-article arxiv bayesian-networks graphical-models faithfulness causality https://pinboard.in/ https://pinboard.in/u:arthegall/b:39383a8def8e/ Gal Elidan, "Inference-less Density Estimation using Copula Bayesian Networks" (arXiv) 2012-05-10T12:02:55+00:00 http://arxiv.org/abs/1203.3476 arthegallarxiv research-article copula bayesian-networks graphical-models machinelearning https://pinboard.in/ https://pinboard.in/u:arthegall/b:70a033ba1be1/ [0811.4458v2] Learning Class-Level Bayes Nets for Relational Data 2011-12-08T13:12:13+00:00 http://arxiv.org/abs/0811.4458v2 arthegall via:cshalizi bayesian-methods bayesian-networks arxiv research-article probabilistic-relational-models https://pinboard.in/ https://pinboard.in/u:arthegall/b:4bfb719dbd90/ Pennock, Wellman, "Toward a Market Model for Bayesian Inference," (UAI 1996) 2009-09-05T13:06:38+00:00 http://uai.sis.pitt.edu/displayArticleDetails.jsp?mmnu=1&smnu=2&article_id=393&proceeding_id=12 arthegall david-pennock bayesian-networks markets uai research-article machinelearning https://pinboard.in/u:arthegall/b:cdbd9172ceeb/ Schulte et al "Join Bayes Nets: A new type of Bayes net for relational data" (arXiv) 2008-12-13T20:26:55+00:00 http://arxiv.org/abs/0811.4458 arthegall probabilistic-methods machinelearning research-article arxiv bayesian-networks relational-data https://pinboard.in/u:arthegall/b:65df90aee91b/ Das "Generating Conditional Probabilities for Bayesian Networks: Easing the Knowledge Acquisition Problem" 2008-08-25T13:19:15+00:00 http://arxiv.org/abs/cs/0411034 arthegall arxiv research-article bayesian-networks graphical-models elicited-models https://pinboard.in/u:arthegall/b:5a8aab7dfde4/ Dominik Janzing, Bernhard Schoelkopf, "Causal inference using the algorithmic Markov condition" 2008-04-24T10:48:17+00:00 http://arxiv.org/abs/0804.3678 arthegall bayesian-networks arxiv research-article inference causality markov-models https://pinboard.in/u:arthegall/b:3ce6848dfcec/ Overcoming Bias: Fake Explanations 2007-08-24T13:38:24+00:00 http://www.overcomingbias.com/2007/08/fake-explanatio.html arthegall psychology bayesian-networks science bayesian-probability https://pinboard.in/u:arthegall/b:5285f9d227d9/ Bayesian Poker Player - Monash BPP 2007-08-21T20:37:09+00:00 http://www.csse.monash.edu.au/~annn/poker/poker.html arthegall python bayesian-networks poker games research machinelearning https://pinboard.in/u:arthegall/b:b76b52dce043/ Judea Pearl's "Probabilistic Reasoning in Intelligent Systems" (Google Book Search) 2007-07-09T03:47:39+00:00 http://books.google.com/books?id=k9VsqN24pNYC arthegall book networks probability inference bayesian-probability bayesian-networks https://pinboard.in/u:arthegall/b:62b091dfe8d6/ Bayesian Network tools in Java (BNJ) 2007-05-23T21:21:42+00:00 http://bnj.sourceforge.net/ arthegall programming bayesian-networks machinelearning library java https://pinboard.in/u:arthegall/b:1385ccf3371d/ JavaBayes 0.346 2007-05-23T21:20:47+00:00 http://www.cs.cmu.edu/~javabayes/Home/ arthegall programming machinelearning bayesian-networks java library probability https://pinboard.in/u:arthegall/b:ffa98a958e16/ VIBES: Variational Inference for Bayesian Networks 2007-05-22T15:13:51+00:00 http://vibes.sourceforge.net/ arthegall programming java bayesian-networks variational-methods library statistics machinelearning https://pinboard.in/u:arthegall/b:0693b515256b/ Intel's Open-Source Probabilistic Networks Library (PNL) 2007-03-07T22:37:14+00:00 http://www.intel.com/technology/computing/pnl/index.htm arthegall bayesian-networks graphical-models programming library intel research machinelearning https://pinboard.in/u:arthegall/b:b3e649b79094/ "Two Proposals for Causal Grammars," Griffiths and Tenenbaum 2007-02-07T05:57:01+00:00 http://web.mit.edu/cocosci/Papers/gt-grammar.pdf arthegall bayesian-networks graphs grammar journal-article statistics causality https://pinboard.in/u:arthegall/b:cf82d727e836/