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 Song J
Statistica Sinica,
Statistica Sinica (Institute of Statistical Science) 01-01-20262025
Learning causal graphs via nonlinear sufficient dimension reductionSolea E Li B
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
Statistica Sinica 06-05-20252023
High-dimensional rank-based graphical models for non-Gaussian functional dataSolea E
Statistics,
Taylor & Francis vol. 57 (2), 388-422.
04-03-2023
On skewed Gaussian graphical modelsSheng T Li B
Journal of Multivariate Analysis,
Elsevier vol. 194
01-03-20232022
Nonparametric and high-dimensional functional graphical modelsSolea E Dette H
Electronic Journal of Statistics,
Institute of Mathematical Statistics vol. 16 (2)
01-01-20222020
Copula Gaussian Graphical Models for Functional DataSolea E 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 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
Journal of Applied Statistics,
Taylor & Francis vol. 45 (3), 487-507.
31-01-2017
Research Group
PhD Students
- Jiaze Chen
High-Dimensional Directed Acyclic Graphs For Sparse Longitudinal Data
News
September 2025
16 September 2025
Summer is typically a period where many conferences take place keeping academics busy. From organising events to giving talks to conferences, members of the Centre were active during the 2025 summer, presenting their research and networking with the UK and the international community.
Natasha Blitvic was an invited plenary speaker at ... [more]
