Ioannis Kalogridis, Lecturer in Statistics and Data Analytics at the University of Glasgow

Ioannis Kalogridis

Lecturer in Statistics and Data Analytics
School of Mathematics & Statistics, University of Glasgow

Research in functional data analysis, nonparametrics, and robust statistics. PhD 2020, KU Leuven (supervisor: Prof. Stefan Van Aelst).

University of Glasgow profile →

Research Interests

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Publications

  1. Kalogridis, I. (2026). Penalized spline M-estimators for discretely sampled functional data: Existence and asymptotics. Journal of Multivariate Analysis, to appear. [arxiv | code]
  2. Kalogridis, I. and Nagy, S. (2025). Robust functional regression with discretely sampled predictors. Computational Statistics & Data Analysis, to appear. DOI: 10.1016/j.csda.2025.108308 [paper | code]
  3. Kalogridis, I. and Van Aelst, S. (2025). Robust penalized splines for location estimation from discretely sampled functional data. In International Workshop on Functional and Operatorial Statistics (IWFOS 2025), pp. 267–275. DOI: 10.1007/978-3-031-92383-8_33 [paper]
  4. Kalogridis, I. and Van Aelst, S. (2025). Resistant dispersion estimation for nonparametric regression. TEST, 34, 660–690. DOI: 10.1007/s11749-025-00974-w [paper | code]

Full list available on University profile and Google Scholar.

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Preprints

  • Kalogridis, I. (2026). Generalized nonparametric regression in reproducing kernel Hilbert spaces: Consistency and rates of convergence. [paper | code]
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    Teaching

    Currently (2025–2026 academic year):

    I also manage and supervise MSc dissertations in Statistics and Data Analytics.

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    Software & Code

    View all repositories on GitHub →

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    Peer Review & Editorial Work

    Associate Editor
    Statistics and Computing (2026-)

    I regularly review for major journals including:

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    Contact

    Email: ioannis.kalogridis@glasgow.ac.uk

    Google Scholar | ORCID | Mathematics Genealogy

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