Steffen Lauritzen

Steffen Lauritzen

Professor, emeritus

ORCID: 0000-0001-7176-6212

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  1. Published

    Bayesian Networks for Max-Linear Models

    Klüppelberg, C. & Lauritzen, Steffen, 2019, Network Science: An aerial view. Biagini, F., Kauermann, G. & Meyer-Brandis, T. (eds.). Springer, p. 79-97

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  2. Causal inference from graphical models

    Lauritzen, Steffen, 2001, Complex Stochastic Systems. Barndorff-Nielsen, O. E., Cox, D. R. & Klüppelberg, C. (eds.). CRC Press, p. 63-107 45 p.

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  3. Combining Statistical Models

    Massa, S. & Lauritzen, Steffen, 2010, Algebraic Methods in Statistics and Probability II. Viana, M. & Wynn, H. (eds.). American Mathematical Society, p. 239-259 21 p. (Contemporary Mathematics, Vol. 516).

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  4. 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 proceeding › Article in proceedings › Research › peer-review

  5. 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

  6. Evaluating influence diagrams using LIMIDs

    Nilsson, D. & Lauritzen, Steffen, 2003, 16th Conference on Uncertainty in Artificial Intelligence.. Boutilier, C. & Goldszmidt, M. (eds.). Morgan Kaufmann, p. 436-445 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  7. 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 proceeding › Article in proceedings › Research

  8. Goodness of fit: with a view towards particle physics

    Lauritzen, Steffen, 2006, PHYSTAT05 Proceedings: Statistical Problems in Particle Physics, Astrophysics and Cosmology, 12-15 Sep 2005. Oxford, England, United Kingdom. Lyons, L. & Unel, MK. (eds.). Imperical College Press, p. 25-30 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  9. Graphical Models in Genetics

    Lauritzen, Steffen & Sheehan, N. A., 9 May 2008, Handbook of Statistical Genetics: Third Edition. John Wiley & Sons, Ltd, Vol. 2. p. 808-842 35 p.

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  10. Graphical models in genetics

    Lauritzen, Steffen & Sheehan, N., 2007, Handbook in Statistical Genetics. Balding, D. J., Bishop, M. & Cannings, C. (eds.). 3rd edition ed. Wiley, p. 808-842 35 p.

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

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