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Hier finden Sie Vorträge von Promovenden über den Stand der Forschung in ihren Promotionsprojekten:

Mittwoch, 10.05.2023, Hörsaal M/E 21 und Zoom, ab 14:15 Uhr

14:15-14:45 Lena Schmid
"Tree-Based Ensembles for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?"

14:45-15:15 Leonid Zeldin
"Churn modeling of life insurance policies vis statistical and machine learning methods - Analysis of important features"

15:15-15:45 Daniel Dzikowski
"Structural Periodic Vector Autoregressive Analysis"

Mittwoch, 19.04.2023, Hörsaal M/E 21 und Zoom, ab 14:15 Uhr

14:15-14:45 Berit Hunsdieck
"Statistical modeling of patient journeys"

14:45-15:15 Jonas Heiner
"Integration of different omics data with regression methods"

15:15-15:45 Marléne Baumeister
"Quantile-based MANOVA: A new Tool for inferring multivariate Data in factorial Designs"

Dienstag, 06.12.2022, Hörsaal M/E 21 und Zoom

16:00-16:30 Kai-Robin Lange:
"Using rolling embeddings to interpret semantic change"

16:30-17:00 Jonathan Flossdorf:
"Detecting Changes in Dynamic Networks"

17:15-17:45 Marie Beisemann:
"Item Response Models for Count Data"

17:45-18:15 Carmen van Meegen:
"Gaussian process modelling including derivatives in the framework of computational soil and earth structure simulations"

Dienstag, 15.11.2022, Hörsaal M/E 21 und Zoom

16:00-16:30 Marieke Stolte:
"Comparison of methods for quantifying dataset similarity"

16:30-17:00 Ludger Sanding:
"Mechanistic Bayesian Models in Toxicology"

17:15-17:45 Zeyu Ding:
"Scalable Bayesian p-Generalized Probit and Logistic Regression via Coresets"

17:45-18:15 Jale Basten:
"Unterschätzer Einfluss interner Zeiteffekte bei Stepped-Wedge-Studien im Kohortendesign? - Eine Simulationstudie"

Dienstag, 08.11.2022, Hörsaal M/E 21 und Zoom

16:00-16:30 Sven Teschke:
"Variable selection methods for high-dimensional data using cross leverage scores"

16:30-17:00 Dayasri Ravi:
"Non-linear modelling of blood pressures via environmental factors"

17:15-17:45 Nourah Buhamra:
"Modeling and prediction of tennis at Grand Slam tournaments"

17:45-18:15 Louis Steinmeister:
"The study of statistical and machine learning methods to provide market-based guidance for early stages in conceptual new product design in a B2B context"