Steffen Lauritzen

Steffen Lauritzen

Professor, emeritus

ORCID: 0000-0001-7176-6212

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  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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-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 journal › Conference article › Research › peer-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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-review

  12. Probabilistic Networks and Expert Systems

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

    Research output: Book/Report › Book › Research › peer-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 proceeding › Article in proceedings › Research › peer-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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-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 proceeding › Article in proceedings › Research › peer-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 journal › Journal article › Research › peer-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 proceeding › Article in proceedings › Research › peer-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 proceeding › Article in proceedings › Research › peer-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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-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 journal › Journal article › Research › peer-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 proceeding › Article in proceedings › Research

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. 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

  39. 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

  40. Graphical Models with R

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

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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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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