Højsgaard, S. and Lauritzen, S. L. (2007). Inference in graphical Gaussian models with edge and vertex symmetries with the gRc package for R. Journal of Statistical Software, 23, 6. The gRc package.
Cowell, R. G., Lauritzen, S. L. and Mortera, J. A gamma Bayesian network for DNA mixture analyses. Bayesian Analysis, 2, 333-348, 2007. Electronic access.
Cowell, R. G., Lauritzen, S. L. and Mortera, J. Identification and separation of DNA mixtures using peak area information. Forensic Science International, 166, pp 28-34. 2007. Electronic access.
S. L. Lauritzen and N. A. Sheehan. Graphical models for genetic analyses. Statistical Science, 18, 489-514, 2003. pdf-reprint.
S. L. Lauritzen and J. Mortera. Bounding the number of contributors to mixed DNA stains. Forensic Science International, 130, 125-126, 2002. Electronic access. Published version has several misprints. Correct preprint version (ps).
S. L. Lauritzen and D. Nilsson. Representing and solving decision problems with limited information. Management Science, 47, 1235 - 1251. September 2001. pdf reprint.
H. Hundborg, M. Højbjerre, O. B. Christiansen and S. L. Lauritzen. Familial tendency to fetal loss analysed with Bayesian graphical models by Gibbs sampling. Statistics in Medicine, 19, 2147-2168, 2000. .ps-version. gzipped .ps-version.
Back to topS. L. Lauritzen. Lectures on Contingency Tables. Univ. Cop. Inst. Math. Stat., 1979. 2nd ed. Aalborg University Press 1982. 3rd ed. Department of Mathematics, Aalborg 1989. Electronic edition 2002 (pdf).
Back to topLauritzen, S. L. (2008). Exchangeable Rasch matrices. Rendiconti di Matematica, Serie VII, Volume 28, Roma (2008), 83–95. Special issue of Rendiconti di Matematica, commemorating the centenary of Bruno de Finetti. Online version.
A. P. Dawid and S. L. Lauritzen. The geometry of decision theory. In Proceedings of the Second International Symposium on Information Geometry and its Applications, 22-28. University of Tokyo, December 2005. Research Report 261 (2005), Department of Statistical Science, University College London.
S. Højsgaard and S. L. Lauritzen. Restricted concentration models - graphical Gaussian models with concentration parameters restricted to being equal. Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, Jan 6-8, 2005, Savannah Hotel, Barbados, pp. 152-157. R. G. Cowell and Z. Ghahramani (eds). Society for Artificial Intelligence and Statistics, 2005. Available electronically at http://www.gatsby.ucl.ac.uk/aistats/
S. L. Lauritzen. Graphical models for surrogates. Bulletin of the International Statistical Institute, 60, 144-147, 2003. .pdf-version.
A. P. Dawid and S. L. Lauritzen. Compatible prior distributions. In Bayesian methods with application to science, policy and official statistics; Selected papers from ISBA 2000. Eurostat 2001. pdf-version
D. Nilsson and S. L. Lauritzen. Evaluating Influence Diagrams using LIMIDs. In Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence. (ed. C. Boutilier and M. Goldszmidt), pp. 436-445. Morgan Kaufmann Publishers, San Francisco, 2000. .ps-version.
S. L. Lauritzen. Aspects of T. N. Thiele's contributions to statistics. Bulletin of the International Statistical Institute, 58, 27-30, 1999. .ps-version.
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S. L. Lauritzen: Thieles talmønstre - gulvfliser og komplekse heltal. [Thiele's patterns - tiles and complex integers]. In Danish. Matilde 15, 7-10, 2003. .pdf-reprint.
E. Jørgensen and S. L. Lauritzen. Bedre beslutninger med bayesianske netværk. [Better decisions with Bayesian networks]. In Danish. Naturens Verden 7 , 280-287, 1998. html-version. ps-version.
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P. Vicard, A. P. Dawid, J. Mortera and S. L. Lauritzen.
Estimation of Mutation Rates from
Paternity Cases Using a Bayesian Network. Research
Report 249, Department of Statistical Science, University College
London, 2004.
S. L. Lauritzen. Generating mixed hierarchical interaction models by selection. Research Report R-98-2009. Department of Mathematics. Aalborg University, 1998.