Steffen Lauritzen

Steffen Lauritzen

Professor, emeritus

ORCID: 0000-0001-7176-6212

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  1. Linear estimating equations for exponential families with application to Gaussian linear concentration models

    Forbes, P. G. M. & Lauritzen, Steffen, 2015, In: Linear Algebra and Its Applications. 473, p. 261-283

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

  2. 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

  3. Published

    Les mosaïques de Thiele

    Genest, C. & Lauritzen, Steffen, 2016, In: Accromath. 11, 2, p. 24-29

    Research output: Contribution to journal › Journal article › Communication

  4. Published

    Identifiability and estimation of recursive max‐linear models

    Gissibl, N., Klüppelberg, C. & Lauritzen, Steffen, 2021, In: Scandinavian Journal of Statistics. 48, 1, p. 188-211

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

  5. Computational aspects of DNA mixture analysis

    Graversen, T. & Lauritzen, Steffen, 2015, In: Statistics and Computing. 25, 3, p. 527-541 15 p.

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

  6. 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

  7. Published

    Clinical Assessment Of Disease Activity In Rheumatoid Arthritis

    HANSEN, T., Keiding, S. R., Lauritzen, Steffen, MANTHORPE, R., SORENSEN, S. & WIIK, A., 1979, In: Scandinavian Journal of Rheumatology. 8, 2, p. 101-105 5 p.

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

  8. The reliability of measuring left ventricular ejection fraction by radionuclide cardiography: evaluation by the method of variance components

    HOILUND-CARLSEN, P., Lauritzen, Steffen, MARVING, J., RASMUSSEN, S., HESSE, B., FOLKE, K., GODTFREDSEN, J., CHRAEMMERJORGENSEN, B., GADSBOLL, N., DIGEPETERSEN, H. & JENSEN, B., 1988, In: BRITISH HEART JOURNAL. 59, 6, p. 653-662 10 p.

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

  9. Nonparametric Bayes inference for concave distribution functions

    Hansen, M. & Lauritzen, Steffen, 2002, In: Statistica Neerlandica. 56, 1, p. 110-127 18 p.

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

  10. Reproducibility of determination of right ventricular ejection fraction by radionuclide imaging: assessment by the statistical method of variance components

    Hoilund-Carlsen, P. F., Marving, J., Rasmussen, S., Gadsboll, N., Chraemmer-Jorgensen, B. & Lauritzen, Steffen, 1987, In: International Journal of Cardiac Imaging. 2, 3, p. 183-196

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

  11. Graphical Gaussian models with edge and vertex symmetries

    Hojsgaard, S. & Lauritzen, Steffen, 2008, In: Journal of the Royal Statistical Society, Series B (Statistical Methodology). 70, p. 1005-1027 23 p.

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

  12. Inference in graphical Gaussian models with edge and vertex symmetries with the gRc package for R

    Hojsgaard, S. & Lauritzen, Steffen, 2007, In: Journal of Statistical Software. 23, 6, 36 p.

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

  13. 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

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

    Højsgaard, S. & Lauritzen, Steffen, 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

  15. Graphical Models with R

    Højsgaard, S., Edwards, D. & Lauritzen, Steffen, 2012, Springer. 182 p.

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

  16. Probabilistic networks

    Jensen, F. V. & Lauritzen, Steffen, 2000, Handbook of Defeasible Reasoning and Uncertainty Management Systems. Kluwer Academic Publishers, Vol. 5. p. 289-320 32 p.

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

  17. Bayesian updating in recursive graphical models by local computation

    Jensen, F., Lauritzen, Steffen & Olsen, K., 1990, In: Computational Statistics Quarterly. 4, p. 269-282 14 p.

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

  18. Published

    Globally Convergent Algorithms for Maximizing Likelihood Function

    Jensen, S. T., Johansen, Søren & Lauritzen, Steffen, 1991, In: Biometrika. 78, 4, p. 867-877 11 p.

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

  19. Multivariate dispersion models

    Jorgensen, B. & Lauritzen, Steffen, 2000, In: Journal of Multivariate Analysis. 74, 2, p. 267-281 15 p.

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

  20. Bedre beslutninger med bayesianske netværk

    Jørgensen, E. & Lauritzen, Steffen, 1998, In: Naturens Verden. 7, p. 280-287 8 p.

    Research output: Contribution to journal › Journal article › Communication

  21. 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

  22. Published

    Marginal Maximum Likelihood Estimates and Estimation of the Offspring Mean in a Branching Process

    Keiding, N. & Lauritzen, Steffen, 1978, In: Scandinavian Journal of Statistics. 5, 2, p. 106-110 5 p.

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

  23. 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

  24. 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

  25. Representing and solving decision problems with limited information

    Lauritzen, Steffen & Nilsson, D., 2001, In: Management Science. 47, 9, p. 1235-1251 17 p.

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

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