Techniques for Bayesian analysis in expert systems. - David J. Spiegelhalter; Steffen L. Lauritzen (Ann. Math. Artif. Intell., 1990)

Independence properties of directed markov fields. - Steffen L. Lauritzen; A. Philip Dawid; B. N. Larsen; Hanns-Georg Leimer (Networks, 1990)

Sequential updating of conditional probabilities on directed graphical structures. - David J. Spiegelhalter; Steffen L. Lauritzen (Networks, 1990)

aHUGIN: A System Creating Adaptive Causal Probabilistic Networks. - Kristian G. Olesen; Steffen L. Lauritzen; Finn Verner Jensen (UAI, 1992)

Hybrid Propagation in Junction Trees. - A. Philip Dawid; Uffe Kjærulff; Steffen L. Lauritzen (IPMU, 1994)

Local Computation with Valuations from a Commutative Semigroup. - Steffen L. Lauritzen; Finn Verner Jensen (Ann. Math. Artif. Intell., 1997)

Evaluating Influence Diagrams using LIMIDs. - Dennis Nilsson; Steffen L. Lauritzen (UAI, 2000)

Representing and Solving Decision Problems with Limited Information. - Steffen L. Lauritzen; Dennis Nilsson (Manag. Sci., 2001)

Stable local computation with conditional Gaussian distributions. - Steffen L. Lauritzen; Frank Jensen (Stat. Comput., 2001)

Thiele - Pioneer in Statistics. - Steffen L. Lauritzen (Clarendon, 2002)

3D visual data mining - goals and experiences. - Michael H. Böhlen; Linas Bukauskas; Poul Svante Eriksen; Steffen L. Lauritzen; Arturas Mazeika; Peter Musaeus; Peer Mylov (Comput. Stat. Data Anal., 2003)

Restricted concentration models - graphical Gaussian models with concentration parameters restricted to being equal. - Søren Højsgaard; Steffen L. Lauritzen (AISTATS, 2005)

MAIES: A Tool for DNA Mixture Analysis. - Robert G. Cowell; Steffen L. Lauritzen; Julia Mortera (UAI, 2006)

Probabilistic Networks and Expert Systems - Exact Computational Methods for Bayesian Networks. - Robert G. Cowell; A. Philip Dawid; Steffen L. Lauritzen; David J. Spiegelhalter (Springer, 2007)

09401 Abstracts Collection - Machine learning approaches to statistical dependences and causality. - Dominik Janzing; Steffen L. Lauritzen; Bernhard Schölkopf (Machine learning approaches to statistical dependences and causality, 2009)

Discussion: Latent variable graphical model selection via convex optimization - Steffen L. Lauritzen; Nicolai Meinshausen (CoRR, 2012)

Computational aspects of DNA mixture analysis - Exact inference using auxiliary variables in a Bayesian network. - Therese Graversen; Steffen L. Lauritzen (Stat. Comput., 2015)

Harmonic analysis of symmetric random graphs. - Steffen L. Lauritzen (Kybernetika, 2020)