Publications
Multilevel factor score regression Ghent University
A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide Vrije Universiteit Brussel
Empirical spatial air pollution models have been applied extensively to assess exposure in epidemiological studies with increasingly sophisticated and complex statistical algorithms beyond ordinary linear regression. However, different algorithms have rarely been compared in terms of their predictive ability. This study compared 16 algorithms to predict annual average fine particle (PM 2.5) and nitrogen dioxide (NO 2) concentrations across ...
Prediction of drug response from genetic sequence data using regression techniques KU Leuven
Handling cellwise outliers by sparse regression and robust covariance University of Antwerp KU Leuven
A multiple linear regression analysis of factors affecting the simulated Basic Life Support (BLS) performance with Automated External Defibrillator (AED) in Flemish lifeguards KU Leuven
Vis-NIR-spectroscopy- and loss-on-ignition-based functions to estimate organic matter content of calcareous soils Ghent University
Can we persuade company car drivers to opt out? Vrije Universiteit Brussel
Multiple issues are associated with company cars in the academic debate, such as excessive car use and welfare loss. Company cars, provided by organizations to their employees, are often seen as a subsidy for private car ownership throughout Europe, especially in Belgium. Belgium is the first country in Europe to develop a legal framework in which organizations can replace the company car system with alternative solutions such as a corporate ...