Steffen Lauritzen

Steffen Lauritzen's AcademicInfluence.com Rankings

Steffen Lauritzen

Mathematics

#3601

World Rank

#5290

Historical Rank

Statistics

#198

World Rank

#251

Historical Rank

mathematics Degrees

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Mathematics

Steffen Lauritzen's Degrees

PhD Statistics University of Copenhagen

Why Is Steffen Lauritzen Influential?

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According to Wikipedia, Steffen Lilholt Lauritzen FRS is former Head of the Department of Statistics at the University of Oxford and Fellow of Jesus College, Oxford, and currently Emeritus Professor of Statistics at the University of Copenhagen. He is a leading proponent of mathematical statistics and graphical models.

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Steffen Lauritzen's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Local computations with probabilities on graphical structures and their application to expert systems (1990) (4409)
Probabilistic Networks and Expert Systems (1999) (1980)
The EM algorithm for graphical association models with missing data (1995) (803)
Bayesian analysis in expert systems (1993) (800)
Graphical Models for Associations between Variables, some of which are Qualitative and some Quantitative (1989) (777)
Bayesian updating in causal probabilistic networks by local computations (1990) (777)
Graphical models in R (1996) (645)
Sequential updating of conditional probabilities on directed graphical structures (1990) (629)
Independence properties of directed markov fields (1990) (597)
Hyper Markov Laws in the Statistical Analysis of Decomposable Graphical Models (1993) (556)
Propagation of Probabilities, Means, and Variances in Mixed Graphical Association Models (1992) (503)
Markov Fields and Log-Linear Interaction Models for Contingency Tables (1980) (455)
Stable local computation with conditional Gaussian distributions (2001) (284)
Chain graph models and their causal interpretations (2002) (280)
Probabilistic Networks and Expert Systems - Exact Computational Methods for Bayesian Networks (1999) (277)
Graphical and recursive models for contingency tables (1983) (266)
On Substantive Research Hypotheses, Conditional Independence Graphs and Graphical Chain Models (1990) (253)
Causal Inference from Graphical Models (2001) (235)
Representing and Solving Decision Problems with Limited Information (2001) (219)
Graphical Models for Genetic Analyses (2003) (155)
Independence properties of directed Markov fields. Networks, 20, 491-505 (1990) (140)
Proper local scoring rules (2011) (129)
Computer Intrusion Detection and Network Monitoring: A Statistical Viewpoint (2001) (123)
Probabilistic expert systems for DNA mixture profiling. (2003) (112)
Decomposable graphs and hypergraphs (1984) (110)
Handbook of Graphical Models (2018) (101)
Graphical Gaussian models with edge and vertex symmetries (2008) (94)
Decomposition of maximum likelihood in mixed graphical interaction models (1989) (93)
Extremal Families and Systems of Sufficient Statistics (1988) (88)
Thiele - Pioneer in Statistics (2002) (84)
Identification and separation of DNA mixtures using peak area information. (2007) (83)
aHUGIN: A System Creating Adaptive Causal Probabilistic Networks (1992) (83)
Markov properties for mixed graphs (2011) (79)
Finite de Finetti theorems in linear models and multivariate analysis (1992) (79)
Total positivity in Markov structures (2015) (65)
Probabilistic expert systems for handling artifacts in complex DNA mixtures. (2011) (64)
Time Series Analysis in 1880: A Discussion of Contributions Made by T.N. Thiele (1981) (62)
Lectures on Contingency Tables (2002) (61)
PROPER LOCAL SCORING RULES ON DISCRETE SAMPLE SPACES (2011) (59)
Chapter 4: Statistical Manifolds (1987) (58)
The TM algorithm for maximising a conditional likelihood function (2001) (56)
Maximum likelihood estimation in Gaussian models under total positivity (2017) (56)
A gamma model for {DNA} mixture analyses (2007) (55)
The estimation of phase-type related functionals using Markov chain Monte Carlo methods (2003) (54)
MINIMAX ESTIMATION OF LINEAR AND QUADRATIC FUNCTIONALS ON SPARSITY CLASSES (2017) (54)
Compatible prior distributions (2000) (51)
Globally convergent algorithms for maximizing a likelihood function (1991) (50)
Local computation with valuations from a commutative semigroup (1997) (49)
Evaluating Influence Diagrams using LIMIDs (2000) (45)
Mixed graphical association models; discussions and reply (1989) (44)
Probabilistic Expert Systems (2010) (42)
The Geometry of Decision Theory (2006) (42)
Unifying Markov Properties for Graphical Models (2016) (39)
Chapter 3: Differential and Integral Geometry in Statistical Inference (1987) (38)
General Exponential Models for Discrete Observations (1975) (38)
Clinical assessment of disease activity in rheumatoid arthritis. (1979) (34)
Multivariate Dispersion Models (2000) (34)
Discussion on Causality (2004) (34)
The reliability of measuring left ventricular ejection fraction by radionuclide cardiography: evaluation by the method of variance components. (1988) (33)
Bounding the number of contributors to mixed DNA stains. (2002) (31)
Random networks, graphical models and exchangeability (2017) (31)
Computational aspects of DNA mixture analysis (2013) (30)
Chapter 2: Differential Geometrical Theory of Statistics (1987) (30)
Estimating mutation rates from paternity casework. (2008) (30)
Linear estimating equations for exponential families with application to Gaussian linear concentration models (2013) (27)
Hybrid Propagation in Junction Trees (1994) (27)
Chapter 5: Differential Metrics in Probability Spaces (1987) (27)
Exchangeable Rasch Matrices∗ (2007) (26)
Probabilistic modelling for DNA mixture analysis (2008) (26)
Distributions of Phase Derivatives in Mobile Communications (1990) (26)
Some modern applications of graphical models (2003) (24)
Statistics of phase derivatives in mobile communications (1986) (23)
Likelihood analysis of the binary instrumental variable model (2011) (23)
Bayesian Networks for Max-Linear Models (2019) (23)
Inference in High-Dimensional Graphical Models (2018) (21)
Exponential families, extreme point models and minimal space-time invariant functions for stochastic processes with stationary and independent increments (1989) (21)
A theoretical model for blinding in cake filtration (1997) (20)
Identifiability and estimation of recursive max‐linear models (2019) (19)
Nonparametric Bayes inference for concave distribution functions (2002) (18)
Gaussian Graphical Models (2018) (18)
Inference in Graphical Gaussian Models with Edge and Vertex Symmetries with the gRc Package for R (2007) (16)
Combining Statistical Models (2010) (16)
Extreme point models in statistics (2016) (16)
COMPUTING MARGINALS USING LOCAL COMPUTATION (1996) (14)
3D visual data mining - goals and experiences (2003) (14)
Conditional independence in max-linear Bayesian networks (2020) (13)
Sufficiency, Prediction and Extreme Models (2016) (13)
[Bayesian Analysis in Expert Systems]: Rejoinder (1993) (13)
Diagnostic systems by model selection: a case study (1994) (13)
Complex Stochastic Systems (2001) (11)
MAIES: A Tool for DNA Mixture Analysis (2006) (11)
Total positivity in exponential families with application to binary variables (2019) (10)
Graphical models for causal inference (2009) (10)
Estimation of means in graphical Gaussian models with symmetries (2011) (10)
Estimation of parameters in DNA mixture analysis (2011) (10)
LIMIDs of decision problems (1999) (10)
Mixed Interaction Models (2012) (10)
MARKOV PROPERTIES FOR LOOPLESS MIXED GRAPHS (2011) (9)
Search for Causal Models (2018) (8)
On Exchangeability in Network Models (2017) (7)
Sampling bias and logistic models - Discussion (2008) (7)
Informativeness of genetic markers for forensic inference––An information theoretic approach (2008) (7)
Graphical Models for Surrogates (2003) (7)
Causal Concepts and Graphical Models (2018) (7)
Identification in Graphical Causal Models (2018) (7)
Sequential Monte Carlo Methods (2018) (6)
Selecting Models from Data : AI and statistics IV (1995) (6)
Discussion: Latent variable graphical model selection via convex optimization (2012) (6)
Bayesian methods with applications to science, policy and official statistics, ISBA 2000 (2000) (5)
Techniques for Bayesian analysis in expert systems (1990) (5)
Random orthogonal set functions and stochastic models for the gravity potential of the earth (1975) (5)
The average noise from a Poisson stream of vehicles (1977) (5)
Estimation of mutation rates from paternity cases using a Bayesian network (2004) (5)
Statistical reasoning and learning in knowledge-bases represented as causal networks (1988) (5)
Elements of Graphical Models (2011) (4)
Total positivity in structured binary distributions (2019) (4)
Aspects of T . N . Thiele ’ s Contributions to Statistics (1999) (4)
Conditional Independence and Basic Markov Properties (2018) (4)
Locally associated graphical models and mixed convex exponential families (2020) (4)
A stochastic model in mobile communications (1990) (3)
Locally associated graphical models (2020) (3)
Extreme Point Models in Statistics [with Discussion and Reply] (2016) (3)
Reproducibility of determination of right ventricular ejection fraction by radionuclide imaging: Assessment by the statistical method of variance components (2005) (3)
Fingerprint analysis with marked point processes (2014) (3)
Markov Properties for Mixed Graphical Models (2018) (3)
Graphical Models in Genetics (2008) (3)
GOODNESS OF FIT — WITH A VIEW TOWARDS PARTICLE PHYSICS (2006) (2)
Fingerprint Analysis using Bayesian Alignment (2013) (2)
Bayesian Inference in Graphical Gaussian Models (2018) (2)
Discussion on the paper by Lauritzen and Richardson (2002) (2)
Highly Structured Stochastic Systems (2003) (2)
Restricted concentration models - graphical Gaussian models with concentration parameters restricted to being equal (2005) (2)
Some Geometric Aspects of Adjustment (1989) (2)
Causal inference with instruments and other supplementary variables (2008) (1)
Note on a Case-Study in Box-Jenkins Seasonal Forecast of Time Series (1974) (1)
Algoriths for Uncertainty and Defeasible Reasoning (2000) (1)
Graphical Models for Complex Stochastic Systems (2012) (1)
Title Inference in Graphical Gaussian Models with Edge and Vertex Symmetries Author (2009) (1)
On the stochastic approach to the determination of the gravity potential. (1972) (1)
Quantifying the strength of evidence in forensic fingerprints (2014) (1)
The general theory of observations: Calculus of probability and the method of least squares (2002) (1)
Fast iterative proportional scaling for Gaussian graphical models (2021) (0)
The Case of a Single Experiment and Finite Sample Space (1988) (0)
Graphs and Conditional Independence (2012) (0)
MAP Estimation: Linear Programming Relaxation and Message-Passing Algorithms (2018) (0)
General Repetitive Structures of Polish Spaces. Projective Statistical Fields (1988) (0)
A model company (2004) (0)
2 Probabilities on graphs : exchangeability and geometry (2018) (0)
Fundamentals of Mathematical Statistics (2023) (0)
Graphical Gaussian models with symmetries (2011) (0)
Nonparametric Graphical Models (2018) (0)
Graphical modelling software in R - status (2007) (0)
Index to Volume 27, 2000 (2000) (0)
Index to Volume 26, 1999 (1999) (0)
A Gamma Model for Mixture STR Samples (2007) (0)
09401 Abstracts Collection - Machine learning approaches to statistical dependences and causality (2009) (0)
Expert Systems, Probabilistic (2006) (0)
Lectures on Contingency Tables Electronic (2002) (0)
Graphical representation of independence structures (2012) (0)
Hybrid Propagation in Jun tion TreesA (1995) (0)
Log-Linear Models (2012) (0)
Algebraic Aspects of Conditional Independence and Graphical Models (2018) (0)
gRaphical models: a softwaRe peRspective (2003) (0)
Latent Tree Models (2018) (0)
Neighborhood Selection Methods (2018) (0)
Editorial (1998) (0)
Combining Information from Gaussian Graphical Models: a Missing Data Perspective (2007) (0)
Scandinavian Journal of Statistics, Theory and Applications: Index to Volume 25, 1998 (1998) (0)
High Dimensional Modelling (2012) (0)
Repetitive Structures of Power Type. Discrete Sample Spaces (1988) (0)
Algorithms and Data Structures for Exact Computation of Marginals (2018) (0)
Graphical Models in Molecular Systems Biology (2018) (0)
Discrete Graphical Models and Their Parameterization (2018) (0)
Rundt på gulvet med komplekse tal (2003) (0)
STATISTICAL MANIFOLDS (2008) (0)
Line Space (2012) (0)
Approximate Methods for Calculating Marginals and Likelihoods (2018) (0)
Graphical Models in Genetics, Genomics, and Metagenomics (2018) (0)
Population Pedigree Inference from Genomic Data (0)
Investigation of a Gamma model for mixture STR samples (2006) (0)
Correction: Hyper Markov Laws in the Statistical Analysis of Decomposable Graphical Models (1995) (0)
On the application of the method of least squares to some cases, in which a combination of certain types of inhomogeneous random sources of errors gives these a ‘systematic’ character (2002) (0)
ST ] 2 M ay 2 01 6 TOTAL POSITIVITY IN MARKOV STRUCTURES (2018) (0)
Introduction to Thiele (2002) (0)
My research : Total positivity in graphical models (2019) (0)
Harmonic analysis of symmetric random graphs (2019) (0)
Computational aspects of DNA mixture analysis (2014) (0)
Contemporary Mathematics Combining Statistical Models (2010) (0)
Simple Repetitive Structures of Product Type.Discrete Sample Spaces (1988) (0)
Obituary: Professor Anders Hald, 1913–2007 (2008) (0)

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Steffen Lauritzen's Academic­Influence.com Rankings