Steffen Lauritzen

Steffen Lauritzen

Professor, emeritus


  1. 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 journalJournal articleResearchpeer-review

  2. 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 journalJournal articleResearchpeer-review

  3. 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. 1-45

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Published

    STATISTICS OF PHASE DERIVATIVES IN MOBILE COMMUNICATIONS.

    Andersen, J. B., Lauritzen, Steffen & Thommesen, C., 1 Jan 1986, In: IEEE Vehicular Technology Conference. p. 228-231 4 p.

    Research output: Contribution to journalConference articleResearchpeer-review

  5. 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. 280-300

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. 3D visual data mining: goals and experiences

    Bohlen, M., Bukauskas, L., Eriksen, P., Lauritzen, Steffen, Mazeika, A., Musaeus, P. & Mylov, P., 2003, In: Computational Statistics & Data Analysis. 43, 4, p. 445-469 25 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. MATERNAL HLA CLASS-II ALLOGENOTYPES ARE MARKERS FOR THE PREDISPOSITION TO FETAL LOSSES IN FAMILIES OF WOMEN WITH UNEXPLAINED RECURRENT FETAL LOSS

    CHRISTIANSEN, O., ANDERSEN, H., HOJBJERRE, M., KRUSE, T., Lauritzen, Steffen & GRUNNET, N., 1995, In: European journal of immunogenetics : official journal of the British Society for Histocompatibility and Immunogenetics. 22, 4, p. 323-334 12 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published

    Probabilistic modelling for DNA mixture analysis

    Cowell, R. G., Lauritzen, Steffen & Mortera, J., 1 Aug 2008, In: Forensic Science International: Genetics Supplement Series. 1, 1, p. 640-642 3 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. A gamma model for DNA mixture analyses

    Cowell, R. G., Lauritzen, Steffen & Mortera, J., 2007, In: Bayesian Analysis. 2, 2, p. 333-348 16 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. Probabilistic expert systems for handling artifacts in complex DNA mixtures

    Cowell, R. G., Lauritzen, Steffen & Mortera, J., 2011, In: Forensic Science International: Genetics. 5, 3, p. 202-209 8 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. 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 journalJournal articleResearchpeer-review

  12. Probabilistic Networks and Expert Systems

    Cowell, R., Dawid, P., Lauritzen, Steffen & Spiegelhalter, D., 1999, Springer. 324 p.

    Research output: Book/ReportBookResearchpeer-review

  13. 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 proceedingArticle in proceedingsResearchpeer-review

  14. 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. 1-48

    Research output: Contribution to journalJournal articleResearchpeer-review

  15. 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 journalJournal articleResearchpeer-review

  16. 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 journalJournal articleResearchpeer-review

  17. 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 journalJournal articleResearchpeer-review

  18. 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 proceedingArticle in proceedingsResearchpeer-review

  19. 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 journalJournal articleResearchpeer-review

  20. The geometry of decision theory

    Dawid, P. & Lauritzen, Steffen, 2006, Proceedings of the 2nd International Symposium on Information Geometry and its Applications. Brody, D. C. & Hughston, L. P. (eds.). Tokyo, Japan, p. 22-28 7 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  21. 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. 109-116

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  22. 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 journalJournal articleResearchpeer-review

  23. 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 journalJournal articleResearchpeer-review

  24. Published

    Total Positivity in Markov Structures

    Fallat, S., Lauritzen, Steffen, Sadeghi, K., Uhler, C., Wermuth, N. & Zwiernik, P., 2017, In: Annals of Statistics. 45, 3, p. 1152-1184

    Research output: Contribution to journalJournal articleResearchpeer-review

  25. Fingerprint analysis using Bayesian alignment

    Forbes, P. G. M. & Lauritzen, Steffen, 2013, Statistical Models and Methods for non-Euclidean Data with Current Scientific Applications International Conference, held in Leeds, UK, 2-4 July 2013: The 32nd Leeds Annual Statistical Research (LASR) Workshop. University of Leeds

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

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