Steffen Lauritzen

Steffen Lauritzen

Professor, emeritus

ORCID: 0000-0001-7176-6212

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  1. Estimation of means in graphical Gaussian models with symmetries

    Gehrmann, H. & Lauritzen, Steffen, 2012, In: Annals of Statistics. 40, 2, p. 1061-1073 13 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  2. Estimation of parameters in DNA mixture analysis

    Graversen, T. & Lauritzen, Steffen, 2013, In: Journal of Applied Statistics. 40, 11, p. 2423-2436 14 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  3. 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

  4. Exchangeable Rasch matrices

    Lauritzen, Steffen, 2008, In: Rendiconti di Matematica, Serie VII. 28, p. 83-95 13 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  5. Exponential Families, Extreme Point Models and Minimal Space-Time Invariant Functions for Stochastic Processes with Stationary and Independent Increments

    KUCHLER, U. & Lauritzen, Steffen, 1989, In: Scandinavian Journal of Statistics. 16, 3, p. 237-261 25 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. Extremal Families and Systems of Sufficient Statistics

    Lauritzen, Steffen, 1988, Springer. 268 p. (Lecture Notes in Statistics, Vol. 49).

    Research output: Book/Report › Book › Research › peer-review

  7. Extreme Point Models in Statistics [with Discussion and Reply]

    Lauritzen, Steffen, 1984, In: Scandinavian Journal of Statistics. 11, 2, p. 65-91 27 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  8. Familial tendency to foetal loss analysed with Bayesian graphical models by Gibbs sampling

    Hundborg, H. H., Hojbjerre, M., Christiansen, O. B. & Lauritzen, Steffen, 2000, In: Statistics in Medicine. 19, 16, p. 2147-2168 22 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  9. 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

  10. 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 journal › Journal article › Research › peer-review

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