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

Mittwoch, 22.05.2024, Hörsaal M/E 21 und Zoom, 14:15-16:30

14:15-14:45 Erik Weber
"HypeWarner: Leveraging LLMs to Uncover Hype in Science Communication"

14:45-15:15 Felix Fesca
"Multivariate Forecast Methods with Structure Information"

15:30-16:00 Jacob Grytzka
"Regularization in generalized linear and additive (mixed) models"

16:00-16:30 Maxime Faymonville
"Model Diagnostics and Inference for Count Data Time Series"

Mittwoch, 15.05.2024, Hörsaal M/E 21 und Zoom, 14:15-15:45

14:15-14:45 Philip Buczak
"Ordinal Classification with Random Forest"

14:45-15:15 He Huang
"Trajektorie-basierte Handschrifterkennung mit zeitlich-räumlicher Faltung auf Distanzmatrix"

15:15-15:45 Louis Steinmeister
"Perspectives on forecasting the semiconductor market"

Mittwoch, 08.05.2024, Hörsaal M/E 21 und Zoom, 14:15-15:45

14:15-14:45 Nourah Buhamra
"Comparing classic regression and machine learning approaches for modeling and prediction of tennis matches at Grand Slam tournaments"

14:45-15:15 Maximilian Kertel
"Learning the Joint Distribution with Missing Data using the Gaussian Copula Model"

15:15-15:45 Zeyu Ding
"Efficient coreset techniques for multivariate conditional transformation models"

Mittwoch, 20.12.2023, Hörsaal M/E 21 und Zoom, ab 14:15

14:15-14:45 Ina Dormuth
"MultiCASANOVA - Multiple group comparisons for non-proportional hazard settings"

14:45-15:15 Maximilian Kertel
"Boosting DAGs - Causal Discovery with Boosting"

15:30-16:00 Guillermo Briseno Sanchez
"Distributional copula regression for bivariate mixed and time-to-event responses"

16:00-16:30 Luna Fazio
"Structural equation models with heteroscedastic latent variables"

Mittwoch, 06.12.2023, Hörsaal M/E 21 und Zoom, ab 14:15

14:15-14:45 Karin Schork
"Statistical methods for protein quantification"

14:45-15:15 Julia Duda
"Approximate Non-linear Subspace Shrinkage using Horseshoe Priors"

15:30-16:00 Florence Bockting
"Simulation-based prior elicitation for parametric Bayesian models"

16:00-16:30 Sven Pappert
"Moving Aggregate modified Autoregressive Copula-based Time Series Models (MAGMAR Copulas)"

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"