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
ID: 86418923
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1194
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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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1185
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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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300
downloads
Maximum likelihood estimation in Gaussian models under total positivity
Research output: Contribution to journal › Journal article › Research › peer-review
Published