Steffen Lauritzen
Professor, emeritus
Department of Mathematical Sciences
Universitetsparken 5
2100 København Ø
Graphical and Recursive Models for Contingency Tables
WERMUTH, N. & Lauritzen, Steffen, 1983, In: Biometrika. 70, 3, p. 537-552 16 p.Research output: Contribution to journal › Journal article › Research › peer-review
Graphical models for genetic analyses
Lauritzen, Steffen & Sheehan, N., 2003, In: Statistical Science. 18, 4, p. 489-514 26 p.Research output: Contribution to journal › Journal article › Research › peer-review
Graphical models for surrogates
Lauritzen, Steffen, 2003, In: Bulletin of The International Statistical Institute. 60, p. 144-147 4 p.Research output: Contribution to journal › Conference article › Research › peer-review
Graphical models in genetics
Lauritzen, Steffen & Sheehan, N., 2007, Handbook in Statistical Genetics. Balding, D. J., Bishop, M. & Cannings, C. (eds.). 3rd edition ed. Wiley, p. 808-842 35 p.Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- Published
Handbook of Graphical Models
Maathuis, M. (ed.), Drton, M. (ed.), Lauritzen, Steffen (ed.) & Wainwright, M. (ed.), 2019, Boca Raton: CRC Press. 554 p. (Handbooks of Modern Statistical Methods).Research output: Book/Report › Book › Research › peer-review
- Published
Harmonic analysis of symmetric random graphs
Lauritzen, Steffen, 2020, In: Kybernetika. 56, 6, p. 1081-1089Research output: Contribution to journal › Journal article › Research › peer-review
Hybrid propagation in junction trees
Dawid, A., Kjaerulff, U., Lauritzen, Steffen, BouchonMeunier, B., Yager, R. & Zadeh, L., 1995, Advances in Intelligent Computing - IPMU '94: 5th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Pais, France, July 1994. Bouchon-Meunier, B., Yager, R. & Zadeh, L. (eds.). Springer, p. 87-97 11 p. (Lecture notes in computer science, Vol. 945).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Hyper Markov Laws in the Statistical Analysis of Decomposable Graphical Models
DAWID, A. & Lauritzen, Steffen, 1993, In: Annals of Statistics. 21, 3, p. 1272-1317 46 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Identifiability and estimation of recursive max‐linear models
Gissibl, N., Klüppelberg, C. & Lauritzen, Steffen, 2021, In: Scandinavian Journal of Statistics. 48, 1, p. 188-211Research output: Contribution to journal › Journal article › Research › peer-review
Identification and separation of DNA mixtures using peak area information
Cowell, R. G., Lauritzen, Steffen & Mortera, J., 2007, In: Forensic Science International. 166, 1, p. 28-34 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
Independence properties of directed markov fields
Lauritzen, Steffen, DAWID, A., LARSEN, B. & LEIMER, H., 1990, In: Networks. 20, 5, p. 491-505 15 p.Research output: Contribution to journal › Journal article › Research › peer-review
Inference in graphical Gaussian models with edge and vertex symmetries with the gRc package for R
Hojsgaard, S. & Lauritzen, Steffen, 2007, In: Journal of Statistical Software. 23, 6, 36 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Informativeness of genetic markers for forensic inference--An information theoretic approach
Lauritzen, Steffen & Mazumder, A., 1 Aug 2008, In: Forensic Science International: Genetics Supplement Series. 1, 1, p. 652-653 2 p.Research output: Contribution to journal › Journal article › Research › peer-review
Interaction models
Lauritzen, Steffen, 1 Jan 2012, Selected Works of Terry Speed. Springer, p. 91-94 4 p.Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- Published
Lectures in Graphical Models
Lauritzen, Steffen, 2018, 2nd edition ed. Copenhagen: Department of Mathematical Sciences, Faculty of Science, University of Copenhagen.Research output: Book/Report › Compendium/lecture notes › Education
- Published
Lectures on Graphical Models
Lauritzen, Steffen, 2017, Department of Mathematical Sciences, Faculty of Science, University of Copenhagen. 155 p.Research output: Book/Report › Compendium/lecture notes › Education
- Published
Lectures on Graphical Models, 3rd edition
Lauritzen, Steffen, 2019, Department of Mathematical Sciences, Faculty of Science, University of Copenhagen. 154 p.Research output: Book/Report › Compendium/lecture notes › Education
- Published
Les mosaïques de Thiele
Genest, C. & Lauritzen, Steffen, 2016, In: Accromath. 11, 2, p. 24-29Research output: Contribution to journal › Journal article › Communication
Likelihood analysis of the binary instrumental variable model
Ramsahai, R. R. & Lauritzen, Steffen, 2011, In: Biometrika. 98, 4, p. 987-994 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
Linear estimating equations for exponential families with application to Gaussian linear concentration models
Forbes, P. G. M. & Lauritzen, Steffen, 2015, In: Linear Algebra and Its Applications. 473, p. 261-283Research output: Contribution to journal › Journal article › Research › peer-review
Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems
Lauritzen, Steffen & SPIEGELHALTER, D., 1988, In: Journal of the Royal Statistical Society. B. 50, 2, p. 157-224 68 p.Research output: Contribution to journal › Journal article › Research › peer-review
Local computation with valuations from a commutative semigroup
Lauritzen, Steffen & Jensen, F., 1997, In: Annals of Mathematics and Artificial Intelligence. 21, 1, p. 51-69Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Locally associated graphical models and mixed convex exponential families
Lauritzen, Steffen & Zwiernik, P., 27 Nov 2022, In: Annals of Statistics. 50, 5, p. 3009-3038Research output: Contribution to journal › Journal article › Research › peer-review
MAIES: A tool for DNA mixture analysis
Cowell, R., Lauritzen, Steffen & Mortera, J., 2006, Proceedings of the Twenty-Second Conference Conference on Uncertainty in Artificial Intelligence (UAI-06): July 13- 16 2006, Cambridge, MA, USA. Dechter, R. & Richardson, T. S. (eds.). AUAI Press, p. 90-97 8 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
MATERNAL HLA CLASS-II ALLOGENOTYPES ARE MARKERS FOR THE PREDISPOSITION TO FETAL LOSSES IN FAMILIES OF WOMEN WITH UNEXPLAINED RECURRENT FETAL LOSS
CHRISTIANSEN, O., ANDERSEN, H., HOJBJERRE, M., KRUSE, T., Lauritzen, Steffen & GRUNNET, N., 1995, In: European journal of immunogenetics : official journal of the British Society for Histocompatibility and Immunogenetics. 22, 4, p. 323-334 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 86418923
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Markov Fields and Log-Linear Interaction Models for Contingency Tables
Research output: Contribution to journal › Journal article › Research › peer-review
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1179
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Hyper Markov Laws in the Statistical Analysis of Decomposable Graphical Models
Research output: Contribution to journal › Journal article › Research › peer-review
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298
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Maximum likelihood estimation in Gaussian models under total positivity
Research output: Contribution to journal › Journal article › Research › peer-review
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