Dr Eftychia Solea
PhD
Lecturer in Statistics
School of Mathematical Sciences
Queen Mary University of London
Research
causal inference, dimension reduction, functional data analysis, graphical models, nonparametric statistics, object-oriented data analysis
Interests
My primary research interest lies in developing statistical methodologies for analyzing random functions (mathematical curves), which can be viewed as random elements in Hilbert spaces. Such data frequently arise in fields such as medical imaging. My goal is to contribute to the theoretical foundations of these methods and to design efficient algorithms for their practical implementation.
To date, my research has primarily focused on graphical models, dimension reduction, quantile regression, and causal inference for functional data. More recently, I have become interested in distributional data analysis, where the data consist of samples of distributions or probability densities.
Publications of specific relevance to the Centre for Probability, Statistics and Data Science

Publications of specific relevance to the Centre for Probability, Statistics and Data Science
2026
Robust Inverse Regression for Multivariate Elliptical Functional DataSolea E, Christou E and Song J
Statistica Sinica,
Statistica Sinica (Institute of Statistical Science) 01-01-20262025
Learning causal graphs via nonlinear sufficient dimension reductionSolea E, Li B and Kim K
Journal of Machine Learning Research,
Journal of Machine Learning Research vol. 26
17-05-2025
Sufficient Dimension Reduction for the Conditional
Quantiles of Functional DataChristou E,
Solea E, Wang S and Song J
Statistica Sinica 06-05-20252023
High-dimensional rank-based graphical models for non-Gaussian functional dataSolea E and Al Hajj R
Statistics,
Taylor & Francis vol. 57 (2), 388-422.
04-03-2023
On skewed Gaussian graphical modelsSheng T, Li B and
Solea E Journal of Multivariate Analysis,
Elsevier vol. 194
01-03-20232022
Nonparametric and high-dimensional functional graphical modelsSolea E and Dette H
Electronic Journal of Statistics,
Institute of Mathematical Statistics vol. 16 (2)
01-01-20222020
Copula Gaussian Graphical Models for Functional DataSolea E and Li B
Journal of The American Statistical Association,
Taylor & Francis vol. 117 (538), 781-793.
16-10-20202018
A Nonparametric Graphical Model for Functional Data With Application to Brain Networks Based on fMRILi B and
Solea E Journal of The American Statistical Association,
Taylor & Francis vol. 113 (524), 1637-1655.
02-10-20182017
Statistical learning on emerging economiesSolea E, Li B and Slavković A
Journal of Applied Statistics,
Taylor & Francis vol. 45 (3), 487-507.
31-01-2017