OPEN AUEB - Stats Ph.D. Day

It is our great pleasure to invite you to the OPEN AUEB - Stats Ph.D. Day, which will take place on Monday, 15/9/2025, at 12:00, in the Antoniadou Lobby of the Main Building of the Athens University of Economics and Business – Antoniadou Wing.

The event will begin with a talk by a Ph.D. graduate and will continue with poster presentations by Ph.D. candidates of the Department of Statistics of the Athens University of Economics and Business.

Indicative research topics of our Ph.D. students include:

Forensic Statistics
Bayesian Variable Selection for Big Data
Basketball Performance Models
Survival Analysis
Covid Analytics
Psychometrics
Discrete Time Series
Stochastic Analysis
Probability Theory
Neuroimaging and Dementia

Program

12.00 - 12.10: Welcome from the President of the Department of Statistics, Professor Stylianos Psarakis
12.10 - 13.10: Presentation by Dimitrios Mavridis, Professor at the Department of Primary Education, University of Ioannina, titled: «Allowing for uncertainty due to missing and last observation carried forward imputed outcome data in meta-analysis».
13.10 - 15.00: Posters from the Department of Statistics Ph.D. candidates with coffee and drinks.

Posters from the Departments Ph.D. Candidates:

Argyro Damoulaki: «Bayesian model screening: On the way to scalable approximations»
Panagiota Zygoura: «Composite survival endpoint for clinical trials»
Athanasia Kalogirou: «Predicting cognitive ability in patients with frontotemporal dementia using brain measures volumetric data»
Christos Kaskouras: «Uncertainty mitigation in power flexibility estimation»
Athanasios Balis: «Βέλτιστος έλεγχος για διαχείριση προβλημάτων με δυναμικό στοχαστικό προγραμματισμό»
Anna Nalpantidi: «Modelling multiple time series of mixed data»
Zoi Sagri: «Factor analysis for psychometric Data: A study using the SPQ questionnaire, a Bayesian and classical approach»
Foteini Stroubakou: «From basket trial data to decision making: attributing information contributions»
Lampis Tzai: «Bayesian modelling and inference for the degrees of freedom of the Wishart distribution»
Andre Ehrlich: «Age-stratified epidemic forecasting via Gaussian processes with viral load measurements»