Steffen Lauritzen

Search results

• 2013

  Fingerprint analysis using Bayesian alignment

  Forbes, P. G. M. & Lauritzen, S. L., 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
• 2006

  Goodness of fit: with a view towards particle physics

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

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

• MAIES: A tool for DNA mixture analysis

  Cowell, R., Lauritzen, S. & 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 proceeding › Article in proceedings › Research › peer-review

• The geometry of decision theory

  Dawid, P. & Lauritzen, S., 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 proceeding › Article in proceedings › Research › peer-review
• 2005

  Restricted concentration models . graphical Gaussian models: with concentration parameters restricted to be equal.

  Højsgaard, S. & Lauritzen, S. L., 2005, Tenth international workshop on artificial intelligence and statistics: January 6-8, 2005 Savannah Hotel, Barbados. Cowell, R. & Ghahramani, Z. (eds.). Society for Artificial Intelligence and Statistics, p. 152-157 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
  2 Citations (Scopus)
• 2003

  Evaluating influence diagrams using LIMIDs

  Nilsson, D. & Lauritzen, S., 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

• Rasch models with exchangeable rows and columns

  Lauritzen, S., 2003, Bayesian Statistics 7: Proceedings of the Seventh Valencia International Meeting, Dedicated to Dennis V. Lindley, June 2–6, 2002. Bernardo, J., Bayarri, M., Berger, J., Dawid, A., Heckerman, D., Smith, A. & West, M. (eds.). Clarendon Press, p. 215-232 18 p.

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
• 2001

  Compatible prior distributions

  Dawid, P. & Lauritzen, S., 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
• 1995

  Hybrid propagation in junction trees

  Dawid, A., Kjaerulff, U., Lauritzen, S. L., 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 proceeding › Article in proceedings › Research › peer-review
• 1994

  Diagnostic systems by model selection: a case study

  Lauritzen, S. L., Thiesson, B. & Spiegelhalter, D., 1994, Selecting Models from Data: Artificial Intelligence and Statistics IV. Cheeseman, P. & Oldford, R. (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
• 1992

  aHUGIN: A system creating adaptive causal probabililistic networks

  Olesen, K., Lauritzen, S. L. & Jensen, F., 1992, Eighth Conference on Uncertainty in Artificial Intelligence. Dubois, D. & Wellman, M. (eds.). Morgan Kaufmann, p. 223-229 7 p.

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