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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
awards
Imperial College Union Student Choice Award
Published:
Outstanding Academic Representation Network Team Award.
PhD Studentship
Published:
Studentship offered by the EPSRC for the Centre of Doctoral Training in Statistics and Machine Learning (StatML CDT)
Warner Prize
Published:
Prize awarded for best MSc Statistics research project at Imperial College London.
Maths PhD Symposium 2022 Award
Published:
Runner-up & People’s Choice Award at poster competition at Imperial College London’s annual Maths PhD Symposium (2022).
FoNS 2025 Prize for Excellence in Teaching
Published:
Nomination for the Faculty of Natural Sciences Prize for excellence in teaching and learning.
Best Postgraduate/Doctoral Paper (CSS 2025)
Published:
Award for the best postgraduate/doctoral paper presented at the 6th Annual Conference of the Cyprus Statistical Society.
Maths PhD Symposium 2025 Award
Published:
People’s Choice Award at poster competition at Imperial College London’s annual Maths PhD Symposium (2025).
publications
Benchmarking distance-based partitioning methods for mixed-type data
Published in Advances in Data Analysis and Classification, 2023
Recommended citation: @article{costa2023benchmarking, title={Benchmarking distance-based partitioning methods for mixed-type data}, author={Costa, Efthymios and Papatsouma, Ioanna and Markos, Angelos}, journal={Advances in Data Analysis and Classification}, volume={17}, number={3}, pages={701--724}, year={2023}, publisher={Springer} }
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A novel framework for quantifying nominal outlyingness
Published in Under review, 2024
Recommended citation: @misc{costa2024nominalouts, title={A novel framework for quantifying nominal outlyingness}, author={Efthymios Costa and Ioanna Papatsouma}, year={2024}, eprint={2408.07463}, archivePrefix={arXiv}, primaryClass={stat.ME}, howpublished = {arXiv preprint}, url = {https://arxiv.org/abs/2408.07463}
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A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data
Published in Under review, 2024
Recommended citation: @misc{costa2024dibmix, title={A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data}, author={Costa, Efthymios and Papatsouma, Ioanna and Markos, Angelos}, year={2024}, eprint={2407.03389}, archivePrefix={arXiv}, primaryClass={stat.ME}, howpublished = {arXiv preprint}, url = {https://arxiv.org/abs/2407.03389}
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A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data
Published in Data Science, Classification, and Artificial Intelligence for Modeling Decision Making (IFCS 2024), 2025
Recommended citation: @inproceedings{costa2024deterministic, title={A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data}, author={Costa, Efthymios and Papatsouma, Ioanna and Markos, Angelos}, booktitle={Conference of the International Federation of Classification Societies}, pages={81--88}, year={2024}, organization={Springer} }
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Contribution to the discussion of Dümbgen and Davies (2025) ‘‘Connecting Model-Based and Model-Free Approaches to Linear Least Squares Regression’’
Published in Statistica (to appear), 2025
Recommended citation:
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talks
Imperial Mathematics PhD Symposium 2022
Published:
Poster Title: “Benchmarking distance-based partitioning methods for mixed-type data”. (poster)
Faculty of Natural Sciences (FoNS) 2022 Research Showcase
Published:
Presentation Title: “Clustering mixed-type data: Which method to choose?”. (slides)
Academic visit at Amazon’s Research Centre in Berlin
Published:
Poster Title: “Benchmarking distance-based partitioning methods for mixed-type data”. (poster)
16th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2023)
Published:
Poster Title: “A novel approach to outlier detection for mixed-type data”. (poster)
Weekly Statistics Seminars (Departmental)
Published:
Presentation Title: “Outlier detection for mixed-type data: A novel approach”. (slides)
18th Conference of the International Federation of Classification Societies (IFCS 2024)
Published:
Presentation Title: “A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data”. (slides)
RSS Emerging Applications Section Meeting “Network and Clustering Analysis for Emerging Applications”
Published:
Presentation Title: “A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data”. (slides)
18th International Joint Conference on Computational and Financial Econometrics (CFE) and Computational and Methodological Statistics (CMStatistics 2024)
Published:
Presentation Title: “A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data”. (slides)
International Conference on Robust Statistics (ICORS 2025)
Published:
Presentation Title: “A novel framework for quantifying nominal outlyingness”. (slides)
6th Annual Conference of the Cyprus Statistical Society
Published:
Presentation Title: “Utilising the Information Bottleneck algorithm for clustering mixed-type data”. (slides)
Imperial Mathematics PhD Symposium 2025
Published:
Poster Title: “DIBmix: Information-based clustering for mixed-type data”. (poster)
teaching
BSc/MSci Mathematics
Imperial College London, Department of Mathematics
- Probability and Statistics (Year 1)
- Probability for Statistics (Year 2)
- Statistical Modelling I (Year 2)
- Introduction to Statistical Learning (Years 3 & 4)
- Mathematics of Business and Economics (Years 3 & 4)
- Statistical Modelling II (Years 3 & 4)
MEng Mechanical Engineering
Imperial College London, Department of Mechanical Engineering
- Statistics (Years 3 & 4)
MSc Machine Learning and Data Science (Online)
Imperial College London, Department of Mathematics
- Deep Learning
- Supervised Learning
- Unsupervised Learning
MSc Statistics
Imperial College London, Department of Mathematics
- Computational Statistics
- Data Science
- Machine Learning