Myrto Limnios

myrto.limnios@epfl.ch +41 21 693 01 89

+41 21 693 01 89
EPFL > SB > SB-SMA > SMA-ENS

Web site:  Web site:  https://sma.epfl.ch/

+41 21 693 01 89
EPFL > SB > MATH > MATH-GE

Web site:  Web site:  https://math.epfl.ch/

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Teaching & PhD

Teaching

Mathematics

Courses

Statistics for data science

Statistics lies at the foundation of data science, providing a unifying theoretical and methodological backbone for the diverse tasks enountered in this emerging field. This course rigorously develops the key notions and methods of statistics, with an emphasis on concepts rather than techniques.

Empirical processes

From prototypical examples of estimators used by statisticians, to more complex nonparametric models, methods and theorems will be taught to study their (non)asymptotic behavior, when defined as mappings depending on an empirical measure based on a sample of random observations.