2026 Nanny Wermuth: Mathematics Researcher – H-Index, Publications & Awards

Overview

Nanny Wermuth is affiliated with Chalmers University of Technology in Sweden. Their research spans several areas within computer science and mathematics, with a focus on artificial intelligence, statistics, and signal processing. This multidisciplinary background informs their contributions to various advanced topics in the fields of data science and computational methods.

The main fields of study for Wermuth include:

Computer Science (4 publications)
Mathematics (2 publications)

Within these disciplines, Wermuth's subfields of expertise cover:

Artificial Intelligence (3 publications)
Statistics and Probability (2 publications)
Signal Processing (1 publication)

The topics frequently addressed in Wermuth's research involve:

Bayesian Modeling and Causal Inference (4 publications)
Advanced Statistical Methods and Models (2 publications)
Fuzzy Systems and Optimization (2 publications)
AI-based Problem Solving and Planning (2 publications)
Data Management and Algorithms (2 publications)

Wermuth has collaborated with other researchers including Sylvia Richardson, with whom they co-authored at least one paper.

The recent publication by Wermuth includes:

"Remembering David Cox," 2023, published in Harvard Data Science Review

Harvard Data Science Review is among the venues where Wermuth's work has been published. This venue has featured at least one of their papers.

Best Publications

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

S. L. Lauritzen;N. Wermuth

970
Citations
Multivariate Dependencies: Models, Analysis and Interpretation

D.R. Cox;Nanny Wermuth

945
Citations
A Simulation Study of Alternatives to Ordinary Least Squares

A. P. Dempster;Martin Schatzoff;Nanny Wermuth

477
Citations
On Substantive Research Hypotheses, Conditional Independence Graphs and Graphical Chain Models

Nanny Wermuth;Steffen Lilholt Lauritzen

350
Citations
Linear Dependencies Represented by Chain Graphs

D. R. Cox;Nanny Wermuth

335
Citations
Graphical and recursive models for contingency tables

Nanny Wermuth;Steffen L. Lauritzen

316
Citations
Linear Recursive Equations, Covariance Selection, and Path Analysis

Nanny Wermuth

182
Citations
Response models for mixed binary and quantitative variables

D. R. Cox;Nanny Wermuth

164
Citations
A Comment on the Coefficient of Determination for Binary Responses

D. R. Cox;Nanny Wermuth

155
Citations
Model Search among Multiplicative Models

Nanny Wermuth

135
Citations
Causality: a Statistical View

David R. Cox;Nanny Wermuth

135
Citations
Analogies between Multiplicative Models in Contingency Tables and Covariance Selection

Nanny Wermuth

129
Citations
A note on the quadratic exponential binary distribution

D. R. Cox;Nanny Wermuth

120
Citations
Tests of Linearity, Multivariate Normality and the Adequacy of Linear Scores

D. R. Cox;Nanny Wermuth

92
Citations
PROBABILITY DISTRIBUTIONS WITH SUMMARY GRAPH STRUCTURE

Nanny Wermuth

83
Citations
Parametric Collapsibility and the Lack of Moderating Effects in Contingency Tables with a Dichotomous Response Variable

Nanny Wermuth

81
Citations
When can association graphs admit a causal interpretation

Judea Pearl;Nanny Wermuth

77
Citations
Sequences of regressions and their independences

Nanny Wermuth;Kayvan Sadeghi

77
Citations
A Simple Approximation for Bivariate and Trivariate Normal Integrals

D. R. Cox;Nanny Wermuth

76
Citations
Some statistical aspects of causality

D.R. Cox;Nanny Wermuth

74
Citations

Frequent Co-Authors

David R. Cox University of Oxford

Steffen L. Lauritzen University of Copenhagen

Anthony C. Davison École Polytechnique Fédérale de Lausanne

Shaun M. Fallat University of Regina

Judea Pearl University of California, Los Angeles

Niels Keiding University of Copenhagen

Nancy Reid University of Toronto

External Links

Personal website of Nanny Wermuth

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