Bob Carpenter

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Andrew GelmanProfessor of Statistics and Political Science, Columbia UniversityVerified email at stat.columbia.edu
Daniel LeeStaff Data Scientist, Teamworks (Zelus Analytics)Verified email at alum.mit.edu
Marcus A BrubakerResearch Scientist, Google DeepMind; Associate Prof, York University; Affiliate, Vector InstituteVerified email at yorku.ca
Aki VehtariProfessor, Aalto UniversityVerified email at aalto.fi
Paul-Christian BürknerFull Professor of Computational Statistics, TU Dortmund UniversityVerified email at tu-dortmund.de
Gerald PennProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Jennifer Chu-CarrollResearch Fellow, Elemental CognitionVerified email at ec.ai
Daniel SimpsonNormal ComputingVerified email at normalcomputing.ai
Benjamin GoodrichColumbia UniversityVerified email at columbia.edu
Allen RiddellIndiana University BloomingtonVerified email at indiana.edu
Breck BaldwinColumbia UniverisityVerified email at columbia.edu
Yuling YaoUniversity of Texas at AustinVerified email at austin.utexas.edu
Lauren KennedySenior Lecturer,Computer and Mathematical Sciences, University of AdelaideVerified email at adelaide.edu.au
Jonah GabryColumbia UniversityVerified email at columbia.edu
Charles C MargossianResearch Fellow, Flatiron InstituteVerified email at flatironinstitute.org
Martin Modrák2nd Faculty of Medicine, Charles University in PragueVerified email at lfmotol.cuni.cz
Rebecca J. PassonneauDepartment of Computer Science and Engineering, Penn StateVerified email at cse.psu.edu
Alex BarnettFlatiron Institute, Simons FoundationVerified email at flatironinstitute.org
Geoff PullumSchool of Philosophy, Psychology and Language Sciences, University of EdinburghVerified email at ed.ac.uk
Udo KruschwitzProfessor, University of RegensburgVerified email at ur.de

Bob Carpenter

Flatiron Institute, Center for Computational Mathematics

Verified email at flatironinstitute.org - Homepage

computational statistics probabilistic programming automatic differentiation natural language processing


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Stan: A probabilistic programming language B Carpenter, A Gelman, MD Hoffman, D Lee, B Goodrich, M Betancourt, ... Journal of statistical software 76, 1-32, 2017	8523	2017
The logic of typed feature structures: with applications to unification grammars, logic programs and constraint resolution B Carpenter Cambridge University Press, 1992	1630*	1992
Rank-Normalization, Folding, and Localization: An Improved for Assessing Convergence of MCMC A Vehtari, A Gelman, D Simpson, B Carpenter, PC Bürkner Bayesian Analysis, 2021	1579*	2021
Type-logical semantics B Carpenter MIT press, 1998	725	1998
Overview of BioCreative II gene mention recognition L Smith, LK Tanabe, RJ Ando, CJ Kuo, IF Chung, CN Hsu, YS Lin, ... Genome biology 9, 1-19, 2008	562	2008
Bayesian workflow A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, ... arXiv preprint arXiv:2011.01808, 2020	415	2020
Stan modeling language users guide and reference manual Stan Development Team Technical report, 2016	355	2016
ALE. The Attribute Logic Engine Version 2.0. 1. User’s Guide B Carpenter, G Penn Computational Linguistics Program, Philosophy Department, Carnegie Mellon …, 1994	310*	1994
Vector-based natural language call routing J Chu-Carroll, B Carpenter Computational linguistics 25 (3), 361-388, 1999	244	1999
The benefits of a model of annotation RJ Passonneau, B Carpenter Transactions of the Association for Computational Linguistics 2, 311-326, 2014	218	2014
Methods and apparatus for automatic call routing including disambiguating routing decisions RL Carpenter, J Chu-Carroll US Patent 6,269,153, 2001	173	2001
Stan: A C++ library for probability and sampling Stan Development Team Online: http://mc-stan. org, 2014	169*	2014
The Stan math library: Reverse-mode automatic differentiation in C++ B Carpenter, MD Hoffman, M Brubaker, D Lee, P Li, M Betancourt arXiv preprint arXiv:1509.07164, 2015	152	2015
Bayesian analysis of tests with unknown specificity and sensitivity A Gelman, B Carpenter Journal of the Royal Statistical Society Series C: Applied Statistics 69 (5 …, 2020	147	2020
Category structures G Gazdar, GK Pullum, R Carpenter, E Klein, TE Hukari, RD Levine Computational linguistics 14 (1), 1-19, 1988	131	1988
Comparing Bayesian models of annotation S Paun, B Carpenter, J Chamberlain, D Hovy, U Kruschwitz, M Poesio Transactions of the Association for Computational Linguistics 6, 571-585, 2018	124	2018
LingPipe Natural Language Processing Software B Carpenter, B Baldwin http://alias-i. com/lingpipe, 2004	110*	2004
Multilevel Bayesian models of categorical data annotation B Carpenter Alias-i White Paper 17 (122), 45-50, 2008	94	2008
Lazy sparse stochastic gradient descent for regularized multinomial logistic regression B Carpenter Alias-i, Inc., Tech. Rep, 1-20, 2008	91	2008
Skeptical and credulous default unification with applications to templates and inheritance B Carpenter Inheritance, defaults and the lexicon, 13-37, 1993	89	1993

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