Steffen Lauritzen

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Philip DawidEmeritus Professor of Statistics, University of Cambridgestatslab.cam.ac.uk의 이메일 확인됨
david spiegelhalterCambridge Universitystatslab.cam.ac.uk의 이메일 확인됨
Julia MorteraProfessor of Statisticsuniroma3.it의 이메일 확인됨
Søren HøjsgaardAssociate professor in statistics, Aalborg Universitymath.aau.dk의 이메일 확인됨
Piotr ZwiernikUniversity of Torontoutoronto.ca의 이메일 확인됨
Caroline UhlerMassachusetts Institute of Technologymit.edu의 이메일 확인됨
Thomas S. RichardsonUniversity of Washingtonuw.edu의 이메일 확인됨
Therese GraversenIT University of Copenhagenitu.dk의 이메일 확인됨
Mathias DrtonProfessor of Mathematical Statistics, Technical University of Munichtum.de의 이메일 확인됨
Claudia Klüppelbergma.tum.de의 이메일 확인됨
Matthew ParryAssociate Professor in Statistics, University of Otagootago.ac.nz의 이메일 확인됨
Nuala A SheehanProfessor of Statistical Genetics, University of Leicesterle.ac.uk의 이메일 확인됨
Morten Frydenbergmollerfryd.dk의 이메일 확인됨
Kristian OlesenAssociate professorcs.aau.dk의 이메일 확인됨
Jørgen Bach AndersenAalborg University, Denmarkes.aau.dk의 이메일 확인됨
Shaun FallatUniversity of Reginauregina.ca의 이메일 확인됨
Peter G. M. ForbesDepartment of Statistics, University of Oxfordstats.ox.ac.uk의 이메일 확인됨
Alessandro RinaldoThe University of Texas at Austinaustin.utexas.edu의 이메일 확인됨
Poul Flemming Høilund-Carlsenprofessor i klnisk fysiologi, Syddansk Universitet, Odense, Danmarkrsyd.dk의 이메일 확인됨
Niels KeidingProfessor of biostatistics, University of Copenhagensund.ku.dk의 이메일 확인됨

팔로우

Steffen Lauritzen

Emeritus Professor of Statistics, University of Oxford and University of Copenhagen

math.ku.dk의 이메일 확인됨 - 홈페이지

Mathematical Statistics Graphical Models


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
Graphical models SL Lauritzen Clarendon Press, 1996	7978	1996
Local computations with probabilities on graphical structures and their application to expert systems SL Lauritzen, DJ Spiegelhalter Journal of the Royal Statistical Society: Series B (Methodological) 50 (2 …, 1988	6017	1988
Probabilistic networks and expert systems: Exact computational methods for Bayesian networks RG Cowell, P Dawid, SL Lauritzen, DJ Spiegelhalter Springer Science & Business Media, 2007	3343	2007
The EM algorithm for graphical association models with missing data SL Lauritzen Computational statistics & data analysis 19 (2), 191-201, 1995	1139	1995
Bayesian analysis in expert systems DJ Spiegelhalter, AP Dawid, SL Lauritzen, RG Cowell Statistical science, 219-247, 1993	1136	1993
Bayesian updating in causal probabilistic networks by local computations FV Jensen Comput. Stat. Quarterly 4, 269-282, 1990	1015	1990
Graphical models for associations between variables, some of which are qualitative and some quantitative SL Lauritzen, N Wermuth The annals of Statistics, 31-57, 1989	1011	1989
Statistical analysis of time series: Some recent developments [with discussion and reply] DR Cox, G Gudmundsson, G Lindgren, L Bondesson, E Harsaae, ... Scandinavian Journal of Statistics, 93-115, 1981	932	1981
Independence properties of directed Markov fields SL Lauritzen, AP Dawid, BN Larsen, HG Leimer Networks 20 (5), 491-505, 1990	837	1990
Sequential updating of conditional probabilities on directed graphical structures DJ Spiegelhalter, SL Lauritzen Networks 20 (5), 579-605, 1990	822	1990
Hyper Markov laws in the statistical analysis of decomposable graphical models AP Dawid, SL Lauritzen The Annals of Statistics, 1272-1317, 1993	711	1993
Markov fields and log-linear interaction models for contingency tables JN Darroch, SL Lauritzen, TP Speed The Annals of Statistics, 522-539, 1980	701	1980
Propagation of probabilities, means, and variances in mixed graphical association models SL Lauritzen Journal of the American Statistical Association 87 (420), 1098-1108, 1992	683	1992
R: Graphical and Recursive Models for Contingency Tables N Wermuth, SL Lauritzen Eksp. Aalborg Centerboghandel, 1982	382	1982
Stable local computation with conditional Gaussian distributions SL Lauritzen, F Jensen Statistics and Computing 11, 191-203, 2001	367	2001
On substantive research hypotheses, conditional independence graphs and graphical chain models N Wermuth, SL Lauritzen Journal of the Royal Statistical Society Series B: Statistical Methodology …, 1990	357	1990
Chain graph models and their causal interpretations SL Lauritzen, TS Richardson Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2002	356	2002
Statistical manifolds SL Lauritzen Differential geometry in statistical inference 10, 163-216, 1987	315	1987
Representing and solving decision problems with limited information SL Lauritzen, D Nilsson Management Science 47 (9), 1235-1251, 2001	303	2001
Causal inference from graphical models SL Lauritzen Monographs on Statistics and Applied Probability 87, 63-108, 2001	289	2001

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