Archives: Research Groups
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Research Groups
Research
Learn moreOur research activities includes parametric and nonparametric density and regression function estimation. We propose robust alternatives to classical estimators to address the challenges of estimating densities under shape constraints or regression functions in Poisson or logistic regression settings. Our approach is mainly non-asymptotic and considers both the frequentist and Bayesian paradigms.
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Research Groups
Developing Contemporary Mathematical Statistics
Learn moreThe objective of the group is to develop new robust substitutes to classical statistical methods such as maximum likelihood, least squares and Bayesian methods.
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Research Groups
Research
Learn moreWe study the links between syntax and semantics of logical systems with (co)-algebraic tools. Our primary interest is in the development of newu topolgocial dualities and their use in modal extension of substructiral logics.
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Research Groups
Non-classical logics
Learn moreOur group investigates logical systems using algebra and topology to establish links between syntax and semantic.
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Research Groups
Research
Learn moreModeling is at the core of our team’s expertise. This ranges from theoretical statistics to machine learning. All being applied to a diverse set of fields with a specialization around sports analytics.
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Research Groups
Modelling, Interdisciplinary Research, Data Science, Applied Mathematics and Statistics
Learn moreThe research group Modelling, Interdisciplinary Research, Data Science, Applied Mathematics and Statistics (MIDAS) focuses on statistical modelling and data science.
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