Team

Academic qualification

• 2005 Dipl.-Math., University of Paderborn

Diploma thesis: A bootstrap approach to data driven Neyman's smooth test of fit
Supervisor: Prof. Dr Axel Munk (University Göttingen)

• 2010 Ph.D., Swansea University (Wales), Mathematics Department

Doctoral thesis: On the geometry related to jump processes: Investigating transition functions of Lévy and Lévy-type processes
Supervisor: Prof. Dr. Niels Jacob

Academic Career

since 2025 Postdoc in Biostatistics and Medical Biometry, Medical School OWL, Bielefeld University

2018-2025 Doctoral Studies in Economic Sciences, Econometrics, Bielefeld University

• Dissertation: "Strength out of Weakness: Harnessing Information Gained from the Pair Structure of Composite Marginal Likelihood Estimation"

2015-2017 Erasmus Mundus Joint Master Degree Programme MathMods - Mathematical Modelling in Engineering at the Universities

• Università degli Studi dell'Aquila, Italy
• University of Hamburg, Germany
• Universitat Autònoma de Barcelona, Spain
• Thesis: Development of a mathematical model to describe the liquid exchange in a washing machine during the washing and rinsing process in cooperation with Miele & Cie. KG

2011-2015 Bachelor of Science in Mathematics and Physics at Bielefeld University

• 2013-2014 at the University of Edinburgh with Erasmus Programme
• Thesis: Der Satz von Riesz-Schauder

Publications
Discrete Choice Modelling

• Büscher, S; Bauer, D (2025): Using Lagrange multiplier type tests to detect structural intra-person heterogeneity in composite marginal likelihood estimation in panel data sets, Journal of Choice Modelling, Volume 57, https://doi.org/10.1016/j.jocm.2025.100573.

• Büscher, S (2024): "Strength out of Weakness: Harnessing Information Gained from the Pair Structure of Composite Marginal Likelihood Estimation", Doctoral Thesis

• Büscher, S; Bauer, D (2024): Weighting strategies for pairwise composite marginal likelihood estimation in case of unbalanced panels and unaccounted autoregressive structure of the errors, Transportation Research Part B: Methodological, Volume 181, https://doi.org/10.1016/j.trb.2024.102890.

• Büscher, S; Batram, M; Bauer, D (2019): Using Motifs for Population Synthesis in Multi-Agent Mobility Simulation Models, Stochastic Models, Statistics and Their Applications, 335-349.

Biometrics

• Stonawski, V; Kutzner, J; Büscher, S; Hoyer, A; Kratz, O; & Horndasch, S (2025): "Parenting Stress in Adolescent Anorexia Nervosa: Differential Stress in Mothers and Fathers During Inpatient Treatment", International Journal of Eating Disorders, https://doi.org/10.1002/eat.24551

Talks

• Büscher, S (2024): Visual Guidance for Model Specification: Introducing Score Plots for Composite Marginal Likelihood Estimated Discrete Choice Models, talk at the 14th Young Researchers Workshop of the Centre for Statistics, Bielefeld

• Büscher, S; Bauer, D (2024): New Lagrange Multiplier type test for CML models, talk at the 13th Young Researchers Workshop of the Centre for Statistics, Bielefeld

• Büscher, S; Bauer, D (2024): Lagrange multiplier type test to detect structural intra-personal heterogeneity in Composite Marginal Likelihood estimation of discrete choice models, talk at the 8th International Choice Modelling Conference, Puerto Varas, Chile

• Büscher, S (2023): How to test for intra-personal heterogeneity and temporal effects in discrete choice models in an economic manner, talk at the 12th Young Researchers Workshop of the Centre for Statistics, Bielefeld

• Büscher, S (2022): Robust estimation of misspecified discrete choice models, talk at the 11th Young Researchers Workshop of the Centre for Statistics, Bielefeld

• Büscher, S; Bauer, D (2022): Weighting strategies for pairwise composite marginal likelihood estimation in case of unbalanced panels and unaccounted autocorrelation of the errors, talk at the 7th International Choice Modelling Conference, Reykjavik, Iceland

• Büscher, S (2022): Weighting strategies for pairwise composite marginal likelihood estimation, talk at the 10th Young Researchers Workshop of the Centre for Statistics, Bielefeld

• Büscher, S (2021): Econometrics vs. Machine Learning: Who is better at predicting human mobility patterns?, talk at the 9th Young Researchers Workshop of the Centre for Statistics, Bielefeld

• Büscher, S (2019): Modeling Motif Choice: Using Out of Sample Prediction Performance to Compare Different Discrete Choice Models for Model Selection to Analyze Temporal Stability, talk at the 8th Young Researchers Workshop of the Centre for Statistics, Bielefeld

• Büscher, S; Bauer, D; Batram, M (2019): Modeling Motif Choice: Comparing the prediction performance of different discrete choice models to analyze temporal stability, talk at the 6th International Choice Modelling Conference, Kobe, Japan

• Büscher, S (2019): Using Motifs in person-centred mobility simulation models, talk at the 7th Young Researchers Workshop of the Centre for Statistics, Bielefeld

• Büscher, S; Batram, M; Bauer, D (2019): Using Motifs for Population Synthesis in Multi-Agent Mobility Simulation Models, talk at the 14th Workshop on Stochastic Models, Statistics and their Application, Dresden

• Büscher, S (2018): An analysis of two decades of German mobility data with an emphasis on temporal stability using Multinomial Logit Models, talk at the 6th Young Researchers Workshop of the Centre for Statistics, Bielefeld

• Büscher, S (2018): The MaCML approach to probit model estimation with application on motif choice, talk at the 5th Young Researchers Workshop of the Centre for Statistics, Bielefeld