Steffen Lauritzen
Professor, emeritus
Department of Mathematical Sciences
Universitetsparken 5
2100 København Ø
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
Probabilistic Networks and Expert Systems
Cowell, R., Dawid, P., Lauritzen, Steffen & Spiegelhalter, D., 1999, Springer. 324 p.Research output: Book/Report › Book › 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
Analysis of Forensic DNA Mixtures with Artefacts
Cowell, R. G., Graversen, T., Lauritzen, Steffen & Mortera, J., 2015, In: Journal of the Royal Statistical Society, Series C (Applied Statistics). 64, 1, p. 1-48Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Markov Fields and Log-Linear Interaction Models for Contingency Tables
DARROCH, J., Lauritzen, Steffen & SPEED, T., 1980, In: Annals of Statistics. 8, 3, p. 522-539 18 p.Research output: Contribution to journal › Journal article › 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
Finite De Finetti Theorems in Linear Models and Multivariate Analysis
DIACONIS, P., EATON, M. & Lauritzen, Steffen, 1992, In: Scandinavian Journal of Statistics. 19, 4, p. 289-315 27 p.Research 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
Proper local scoring rules on discrete sample spaces
Dawid, P., Lauritzen, Steffen & Parry, M., 2012, In: Annals of Statistics. 40, 1, p. 593-608 16 p.Research output: Contribution to journal › Journal article › Research › peer-review
Compatible prior distributions
Dawid, P. & Lauritzen, Steffen, 2001, Bayesian methods: With Applications to Science, Policy and Official Statistics ; Selected Papers from ISBA 2000, the Sixth World Meeting of the International Society for Bayesian Analysis. Eurostat, p. 109-116Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 86418923
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1192
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Markov Fields and Log-Linear Interaction Models for Contingency Tables
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
1183
downloads
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
downloads
Maximum likelihood estimation in Gaussian models under total positivity
Research output: Contribution to journal › Journal article › Research › peer-review
Published