Steffen Lauritzen
Professor, emeritus
Department of Mathematical Sciences
Universitetsparken 5
2100 København Ø
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
Bayesian updating in recursive graphical models by local computation
Jensen, F., Lauritzen, Steffen & Olsen, K., 1990, In: Computational Statistics Quarterly. 4, p. 269-282 14 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
A stochastic model in mobile communications
Lauritzen, Steffen, THOMMESEN, C. & ANDERSEN, J., 1990, In: Stochastic Processes and Their Applications. 36, 1, p. 165-172 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
Sequential updating of conditional probabilities on directed graphical structures
SPIEGELHALTER, D. & Lauritzen, Steffen, 1990, In: Networks. 20, 5, p. 579-605 27 p.Research output: Contribution to journal › Journal article › Research › peer-review
Techniques for Bayesian analysis of expert systems
Spiegelhalter, D. & Lauritzen, Steffen, 1990, In: Annals of Mathematics and Artificial Intelligence. 2, p. 353-366Research output: Contribution to journal › Journal article › Research › peer-review
On Substantive Research Hypotheses, Conditional Independence Graphs and Graphical Chain Models
WERMUTH, N. & Lauritzen, Steffen, 1990, In: Journal of the Royal Statistical Society. B. 52, 1, p. 21-50 30 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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