Steffen Lauritzen
Professor, emeritus
Department of Mathematical Sciences
Universitetsparken 5
2100 København Ø
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
Computational aspects of DNA mixture analysis
Graversen, T. & Lauritzen, Steffen, 2015, In: Statistics and Computing. 25, 3, p. 527-541 15 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Conditional independence in max-linear Bayesian networks
Amendola, C., Kluppelberg, C., Lauritzen, Steffen & Tran, N., 2022, In: Annals of Applied Probability. 32, 1, p. 1-45Research output: Contribution to journal › Journal article › Research › peer-review
DISTRIBUTIONS OF PHASE DERIVATIVES IN MOBILE COMMUNICATIONS
ANDERSEN, J., Lauritzen, Steffen & THOMMESEN, C., 1990, In: I E T Microwaves Antennas & Propagation. 137, 4, p. 197-201 5 p.Research output: Contribution to journal › Journal article › Research › peer-review
Decomposable graphs and hypergraphs
Lauritzen, Steffen, SPEED, T. & VIJAYAN, K., 1984, In: Journal of the Australian Mathematical Society. Series A. Pure mathematics and statistics. 36, FEB, p. 12-29 18 p.Research output: Contribution to journal › Journal article › Research › peer-review
Decomposition of maximum likelihood in mixed graphical interaction models
FRYDENBERG, M. & Lauritzen, Steffen, 1989, In: Biometrika. 76, 3, p. 539-555 17 p.Research output: Contribution to journal › Journal article › Research › peer-review
Diagnostic systems by model selection: a case study
Lauritzen, Steffen, Thiesson, B. & Spiegelhalter, D., 1994, Selecting Models from Data: Artificial Intelligence and Statistics IV. Cheeseman, P. & Oldford, RW. (eds.). Springer, p. 143-152 10 p. (Lecture Notes in Statistics, Vol. 89).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Discussion on causality
Lauritzen, Steffen, 2004, In: Scandinavian Journal of Statistics. 31, 2, p. 189-192 4 p.Research output: Contribution to journal › Journal article › Research › peer-review
Discussion: Latent variable graphical model selection via convex optimization
Lauritzen, Steffen & Meinshausen, N., 2012, In: Annals of Statistics. 40, 4, p. 1973-1977 5 p.Research output: Contribution to journal › Journal article › Research › peer-review
Estimating mutation rates from paternity casework
Vicard, P., Dawid, A. P., Mortera, J. & Lauritzen, Steffen, 2008, In: Forensic Science International: Genetics. 2, 1, p. 9-18 10 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
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Hyper Markov Laws in the Statistical Analysis of Decomposable Graphical Models
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Maximum likelihood estimation in Gaussian models under total positivity
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