Dr Stella Hadjiantoni
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Email
stella.hadjiantoni@essex.ac.uk -
Telephone
+44 (0) 1206 874732
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Location
2.521, Colchester Campus
Profile
Biography
I am a Lecturer in Data Science and Statistics at the Department of Mathematical Sciences of the University of Essex. I received a BSc in Mathematics and Statistics and an MSc in Finance from the University of Cyprus. I obtained my PhD from Queen Mary, University of London. Prior to joining the University of Essex, I worked as a Lecturer at the University of Kent and a Guest Teacher at the London School of Economics. I also worked as a Research Associate at the University of Oviedo, Spain. My research expertise lies in the area of statistical computing. I am interested in investigating new methods for computationally intensive problems in statistics and data science using numerical linear algebra. More specifically, my main research interests include: 1. The development of numerical algorithms for estimating large-scale models and handling high-dimensional data sets. 2. Regression, regularisation and dimensionality reduction machine learning algorithms. 3. The estimation of large-scale multivariate models for the analysis of functional and time-series data.
Qualifications
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PhD Queen Mary, University of London,
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MSc Finance University of Cyprus,
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BSc Mathematics and Statistics University of Cyprus,
Appointments
University of Essex
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Lecturer in Data Science and Statistics, Department of Mathematical Sciences, University of Essex (1/9/2019 - present)
Other academic
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Lecturer in Statistics, University of Kent (1/9/2016 - 30/8/2019)
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Guest Teacher in Statistics, London School of Economics and Political Science (1/9/2015 - 30/6/2019)
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Research Associate, University of Oviedo (1/1/2016 - 31/12/2016)
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Teaching Fellow, Queen Mary, University of London (1/9/2015 - 31/8/2016)
Research and professional activities
Research interests
Numerical methods for the development of recursive regularisation and machine learning algorithms
Numerical methods for handling high-dimensional data sets
Predictive modelling
Numerical linear algebra in data science and machine learning
Natural Language Processing
Teaching and supervision
Current teaching responsibilities
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Applied Statistics (MA321)
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Modelling experimental and observational data (MA335)
Publications
Publications (1)
Yang, H., Hadjiantoni, S., Long, Y., Petraityte, R. and Lausen, B., (2023). Automatic Detection of Industry Sectors in Legal Articles Using Machine Learning Approaches
Journal articles (5)
Hadjiantoni, S. and Loizou, G., (2023). Numerical strategies for recursive least squares solutions to the matrix equation AX = B. International Journal of Computer Mathematics. 100 (3), 1-14
Hadjiantoni, S. and Loizou, G., (2023). Numerical strategies for recursive least squares solutions to the matrix equation AX = B.. Int. J. Comput. Math.. 100, 497-510
Hadjiantoni, S. and Kontoghiorghes, EJ., (2022). An alternative numerical method for estimating large-scale time-varying parameter seemingly unrelated regressions models. Econometrics and Statistics. 21, 1-18
Hadjiantoni, S. and Kontoghiorghes, EJ., (2018). A recursive three-stage least squares method for large-scale systems of simultaneous equations. Linear Algebra and Its Applications. 536, 210-227
Hadjiantoni, S. and Kontoghiorghes, EJ., (2017). Estimating large-scale general linear and seemingly unrelated regressions models after deleting observations. Statistics and Computing. 27 (2), 349-361
Conferences (1)
Hadjiantoni, S. and Kontoghiorghes, EJ., Re-estimation of large-scale linear models after adding and deleting observations
Reports and Papers (1)
Parrilla Andrade, F., Gutiérrez-Roig, M., Hadjiantoni, S. and Pattenden, C., Data-driven house sale price prediction using post-go live features
Grants and funding
2021
Strike KTP Application
Innovate UK (formerly Technology Strategy Board)
Advent Insurance Management Limited KTP Application
Innovate UK (formerly Technology Strategy Board)