PhD Student Colloquium

Here you will find presentations by PhD students on the state of research in their PhD projects:

Wednesday, 22.05.2024, Lecture Hall M/E 21 and 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"

Wednesday, 15.05.2024, lecture hall M/E 21 and Zoom, 14:15-15:45

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

14:45-15:15 He Huang
"Trajectory-based handwriting recognition with temporal-spatial convolution on distance matrix"

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

Wednesday, 08.05.2024, lecture hall M/E 21 and 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"

Wednesday, 20.12.2023, Lecture Hall M/E 21 and Zoom, statrting at 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"

Wednesday, 06.12.2023, lecture hall M/E 21 and Zoom, starting at 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)"

Wednesday, 10.05.2023, Lecture Hall M/E 21 and Zoom, from 14:15 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"

Wednesday, 04/19/2023, Lecture Hall M/E 21 and Zoom, starting at 14:15 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"

Tuesday, 06.12.2022, Lecture Hall M/E 21 and 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 modeling including derivatives in the framework of computational soil and earth structure simulations"

Tuesday, 15.11.2022, Lecture Hall M/E 21 and 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: "Underestimated influence of internal time effects in stepped-wedge studies in cohort design? - A simulation study."

Tuesday, 08.11.2022, Lecture Hall M/E 21 and 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 modeling 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"