Steffen Lauritzen
Professor, emeritus
Department of Mathematical Sciences
Universitetsparken 5
2100 København Ø
Discussion on causality
Lauritzen, Steffen, 2004, In: Scandinavian Journal of Statistics. 31, 2, p. 189-192 4 p.Research output: Contribution to journal › Journal article › Research › peer-review
Graphical models for surrogates
Lauritzen, Steffen, 2003, In: Bulletin of The International Statistical Institute. 60, p. 144-147 4 p.Research output: Contribution to journal › Conference article › Research › peer-review
Decomposable graphs and hypergraphs
Lauritzen, Steffen, SPEED, T. & VIJAYAN, K., 1984, In: Journal of the Australian Mathematical Society. Series A. Pure mathematics and statistics. 36, FEB, p. 12-29 18 p.Research output: Contribution to journal › Journal article › Research › peer-review
Thiele: Pioneer in Statistics
Lauritzen, Steffen, 2002, Oxford University Press. 276 p.Research output: Book/Report › Book › Research › peer-review
- Published
On Exchangeability in Network Models
Lauritzen, Steffen, Rinaldo, A. & Sadeghi, K., 12 Apr 2019, In: Journal of Algebraic Statistics. 10, 1, p. 85-114Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Total positivity in exponential families with application to binary variables
Lauritzen, Steffen, Uhler, C. & Zwiernik, P., 2021, In: Annals of Statistics. 49, p. 1436-1459Research output: Contribution to journal › Journal article › Research › peer-review
Graphical Models
Lauritzen, Steffen, 1996, Clarendon Press. 306 p.Research output: Book/Report › Book › Research › peer-review
Probabilistic expert systems
Lauritzen, Steffen, 1998, Encyclopedia of Statistical Sciences. Kotz, S., Read, CB. & Banks, DL. (eds.). Wiley, Vol. Volume 2.Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- Published
Lectures on Graphical Models
Lauritzen, Steffen, 2017, Department of Mathematical Sciences, Faculty of Science, University of Copenhagen. 155 p.Research output: Book/Report › Compendium/lecture notes › Education
- Published
Random Networks, Graphical Models, and Exchangeability
Lauritzen, Steffen, Rinaldo, A. & Sadeghi, K., 24 Apr 2018, In: Journal of The Royal Statistical Society Series B-statistical Methodology. 80, 3, p. 481-508Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Random orthogonal set functions and stochastic models for the gravity potential of the earth
Lauritzen, Steffen, Jan 1975, In: Stochastic Processes and Their Applications. 3, 1, p. 65-72 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
Sampling bias and logistic models - Discussion
Longford, N. T., Diggle, P. J., Nelder, J., Copas, J. B., Ross, G. J. S., Moller, J., Cox, D. R., Keogh, R., Kuk, A. Y. C., Lauritzen, Steffen, Richardson, T. S., Lee, Y., Meng, X., Rathouz, P. & VanderWeele, T. J., 2008, In: Journal of the Royal Statistical Society, Series B (Statistical Methodology). 70, 4, p. 664-677 14 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Handbook of Graphical Models
Maathuis, M. (ed.), Drton, M. (ed.), Lauritzen, Steffen (ed.) & Wainwright, M. (ed.), 2019, Boca Raton: CRC Press. 554 p. (Handbooks of Modern Statistical Methods).Research output: Book/Report › Book › Research › peer-review
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
Probabilistic expert systems for DNA mixture profiling
Mortera, J., Dawid, A. & Lauritzen, Steffen, 2003, In: Theoretical Population Biology. 63, 3, p. 191-205 15 p.Research output: Contribution to journal › Journal article › Research › peer-review
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
aHUGIN: A system creating adaptive causal probabililistic networks
Olesen, K., Lauritzen, Steffen & Jensen, F., 1992, Eighth Conference on Uncertainty in Artificial Intelligence. Dubois, D. & Wellman, MP. (eds.). Morgan Kaufmann, p. 223-229 7 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Proper local scoring rules
Parry, M., Dawid, A. P. & Lauritzen, Steffen, 2012, In: Annals of Statistics. 40, 1, p. 561-592 32 p.Research output: Contribution to journal › Journal article › Research › peer-review
Likelihood analysis of the binary instrumental variable model
Ramsahai, R. R. & Lauritzen, Steffen, 2011, In: Biometrika. 98, 4, p. 987-994 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
Sequential updating of conditional probabilities on directed graphical structures
SPIEGELHALTER, D. & Lauritzen, Steffen, 1990, In: Networks. 20, 5, p. 579-605 27 p.Research output: Contribution to journal › Journal article › Research › peer-review
Bayesian Analysis in Expert Systems
SPIEGELHALTER, D., DAWID, A., Lauritzen, Steffen & COWELL, R., 1993, In: Statistical Science. 8, 3, p. 219-247 29 p.Research output: Contribution to journal › Journal article › Research › peer-review
Bayesian Analysis in Expert Systems
SPIEGELHALTER, D., DAWID, A., Lauritzen, Steffen & COWELL, R., 1993, In: Statistical Science. 8, 3, p. 219-243 37 p.Research output: Contribution to journal › Journal article › Research › peer-review
Markov properties for mixed graphs
Sadeghi, K. S. & Lauritzen, Steffen, 2014, In: Bernoulli. 30, 2, p. 676-696Research output: Contribution to journal › Journal article › Research › peer-review
A theoretical model for blinding in cake filtration
Sorensen, B., Keiding, K. & Lauritzen, Steffen, 1997, In: Water Environment Research. 69, 2, p. 168-173 6 p.Research output: Contribution to journal › Journal article › Research › peer-review
Statistical reasoning and learning in knowledge bases represented as causal networks
Spiegelhalter, D. & Lauritzen, Steffen, 1988, Medicine. Springer, p. 105-112 8 p. (Lecture Notes in Medical Informatics, Vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
Techniques for Bayesian analysis of expert systems
Spiegelhalter, D. & Lauritzen, Steffen, 1990, In: Annals of Mathematics and Artificial Intelligence. 2, p. 353-366Research output: Contribution to journal › Journal article › Research › peer-review
Estimating mutation rates from paternity casework
Vicard, P., Dawid, A. P., Mortera, J. & Lauritzen, Steffen, 2008, In: Forensic Science International: Genetics. 2, 1, p. 9-18 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
Graphical and Recursive Models for Contingency Tables
WERMUTH, N. & Lauritzen, Steffen, 1983, In: Biometrika. 70, 3, p. 537-552 16 p.Research output: Contribution to journal › Journal article › Research › peer-review
On Substantive Research Hypotheses, Conditional Independence Graphs and Graphical Chain Models
WERMUTH, N. & Lauritzen, Steffen, 1990, In: Journal of the Royal Statistical Society. B. 52, 1, p. 21-50 30 p.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 86418923
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Markov Fields and Log-Linear Interaction Models for Contingency Tables
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Hyper Markov Laws in the Statistical Analysis of Decomposable Graphical Models
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Maximum likelihood estimation in Gaussian models under total positivity
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