Steffen Lauritzen
Professor, emeritus
Department of Mathematical Sciences
Universitetsparken 5
2100 København Ø
Statistical manifolds
Lauritzen, Steffen, 1987, Differential Geometry in Statistical Inference. Kass, R. E. (ed.). Institute of Mathematical Statistics, p. 165-216 52 p.Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
Statistical reasoning and learning in knowledge bases represented as causal networks
Spiegelhalter, D. & Lauritzen, Steffen, 1988, Medicine. Springer, p. 105-112 8 p. (Lecture Notes in Medical Informatics, Vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- Published
Stochastic Model. [Appendix to arrticle: Method for monitoring plasma progesterone oncentrations in pregnancy / Winkel, P., Gæde, P. and Lyngbye, J.]
Lauritzen, Steffen, 1976, In: Clinical Chemistry. 22, 4, p. 427-428Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Sufficiency, prediction and extreme models
Lauritzen, Steffen, 1974, In: Scandinavian Journal of Statistics. 1, p. 128-134 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
THE AVERAGE NOISE FROM A POISSON STREAM OF VEHICLES
ANDERSEN, P., ANDERSEN, S. & Lauritzen, Steffen, 1977, In: Journal of Applied Probability. 14, 4, p. 817-828 12 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
The EM algorithm for graphical association models with missing data
Lauritzen, Steffen, 1995, In: Computational Statistics & Data Analysis. 19, 2, p. 191-201 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
The Probabilistic Background of Some Statistical Methods in Physical Geodesy.
Lauritzen, Steffen, 1973, København: Geodætisk Institut.Research output: Book/Report › Book › Research
The TM algorithm for maximising a conditional likelihood function
Edwards, D. & Lauritzen, Steffen, 2001, In: Biometrika. 88, 4, p. 961-972 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
The estimation of phase-type related functionals using Markov chain Monte Carlo methods
Bladt, M., Gonzalez, A. & Lauritzen, Steffen, 2003, In: Scandinavian Actuarial Journal. 2003, 4, p. 280-300Research 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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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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296
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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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