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Steffen L. Lauritzen

Steffen L. Lauritzen

D-Index & Metrics

Mathematics

D-Index
53
Citations
27040
World Ranking
870
National Ranking
6

Research.com Recognitions

  • 2012 - Wald Memorial Lecturer
  • 2011 - Fellow of the Royal Society, United Kingdom
  • 1991 - Member of Academia Europaea

Overview

Steffen L. Lauritzen is affiliated with the University of Copenhagen in Denmark. Their research primarily spans the fields of Mathematics and Computer Science, with a focus on Artificial Intelligence, Statistics and Probability, Geometry and Topology, Mathematical Physics, and Computational Theory and Mathematics.

The main topics of their work include Bayesian Modeling and Causal Inference, Statistical Methods and Inference, Bayesian Methods and Mixture Models, Multi-Criteria Decision Making, Advanced Topology and Set Theory, Advanced Banach Space Theory, and Markov Chains and Monte Carlo Methods.

Lauritzen has contributed to numerous publications in various academic venues. Frequent publication venues include the Journal of the Royal Statistical Society Series B (Statistical Methodology), arXiv (Cornell University), The Annals of Applied Probability, The Annals of Statistics, and Annals of Breast Surgery.

Recent papers authored or co-authored by Lauritzen highlight a range of topics and venues:

  • "Conditional independence in max-linear Bayesian networks," 2022, The Annals of Applied Probability
  • "Identifiability and estimation of recursive max-linear models," 2020, Scandinavian Journal of Statistics
  • "Locally associated graphical models and mixed convex exponential families," 2022, The Annals of Statistics
  • "An observational study comparing the SPY-Elite® vs. the SPY-PHI QP system in breast reconstructive surgery," 2022, Annals of Breast Surgery
  • "On some algorithms for estimation in Gaussian graphical models," 2024, Biometrika

Among frequent co-authors, Lauritzen has collaborated with Aurore Delaigle, Claudia Klüppelberg, Piotr Zwiernik, Søren Højsgaard, and S. Wood.

Lauritzen's awards include the Wald Memorial Lecturer (2012), Fellowship of the Royal Society, United Kingdom (2011), and membership of Academia Europaea (1991).

Best Publications

  • Local computations with probabilities on graphical structures and their application to expert systems

    S. L. Lauritzen;D. J. Spiegelhalter

  • Probabilistic Networks and Expert Systems: Exact Computational Methods for Bayesian Networks

    Robert G. Cowell;A. Philip Dawid;Steffen L. Lauritzen;David J. Spiegelhalter

  • Probabilistic Networks and Expert Systems

    Robert G. Cowell;Steffen L. Lauritzen;A. Philip David;David J. Spiegelhalter

  • The EM algorithm for graphical association models with missing data

    Steffen L. Lauritzen

  • Bayesian analysis in expert systems

    David J. Spiegelhalter;A. Philip Dawid;Steffen L. Lauritzen;Robert G. Cowell

  • Bayesian updating in causal probabilistic networks by local computations

    Finn V. Jensen;Steffen L. Lauritzen;Kristian G. Olesen

  • Graphical Models for Associations between Variables, some of which are Qualitative and some Quantitative

    S. L. Lauritzen;N. Wermuth

  • Independence properties of directed markov fields

    S. L. Lauritzen;A. P. Dawid;B. N. Larsen;H.-G. Leimer

  • Sequential updating of conditional probabilities on directed graphical structures

    David J. Spiegelhalter;Steffen L. Lauritzen

  • Hyper Markov Laws in the Statistical Analysis of Decomposable Graphical Models

    A.P. Dawid;Steffen Lilholt Lauritzen

  • Markov Fields and Log-Linear Interaction Models for Contingency Tables

    J. N. Darroch;S. L. Lauritzen;T. P. Speed

  • Propagation of Probabilities, Means, and Variances in Mixed Graphical Association Models

    Steffen Lilholt Lauritzen

  • Feedforward Neural Network Methodology

    Terrence L. Fine;S. L. Lauritzen;M. Jordan;J. Lawless

  • Computer Intrusion Detection and Network Monitoring: A Statistical Viewpoint

    David J. Marchette;V. Nair;M. Jordan;S. L. Lauritzen

  • Stable local computation with conditional Gaussian distributions

    Steffen L. Lauritzen;Frank Jensen

  • On Substantive Research Hypotheses, Conditional Independence Graphs and Graphical Chain Models

    Nanny Wermuth;Steffen Lilholt Lauritzen

  • Chain graph models and their causal interpretations

    Steffen Lilholt Lauritzen;Thomas S. Richardson

  • Graphical and recursive models for contingency tables

    Nanny Wermuth;Steffen L. Lauritzen

  • Representing and Solving Decision Problems with Limited Information

    Steffen L. Lauritzen;Dennis Nilsson

  • Causal Inference from Graphical Models

    Steffen L. Lauritzen

Frequent Co-Authors

Mathias Drton
Mathias Drton Technical University of Munich
A. P. Dawid
A. P. Dawid University of Cambridge
Nanny Wermuth
Nanny Wermuth Chalmers University of Technology
Finn Verner Jensen
Finn Verner Jensen Aalborg University
Claudia Klüppelberg
Claudia Klüppelberg Technical University of Munich
Alessandro Rinaldo
Alessandro Rinaldo The University of Texas at Austin
Thomas S. Richardson
Thomas S. Richardson University of Washington
Michael I. Jordan
Michael I. Jordan University of California, Berkeley
Terence P. Speed
Terence P. Speed Walter and Eliza Hall Institute of Medical Research

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