LStat hosts international experts and is a stimulating environment for multidisciplinary statistical research.
LStat is a privileged meeting space for statistics researchers from a range of domains:
In operations research, a challenging research area is combinatorial optimization. Next to exact methods such as branch-and-bound, branch-and-price, also approximation algorithms are studied. Assignment and scheduling problems, winner determination problems and research on client-oriented vehicle routing problems are some of the subjects under study. Further emphasis is placed on machine scheduling, resource-constrained project planning and ...
In operations research, a challenging research area is combinatorial optimization. Next to exact methods such as branch-and-bound, branch-and-price, also approximation algorithms are studied. Assignment and scheduling problems, winner determination problems and research on client-oriented vehicle routing problems are some of the subjects under study. Further emphasis is placed on machine scheduling, resource-constrained project planning and ...
Topic A : research in numerical analysis-Topic B : research in differential equations and singular perturbations
The research of this unit focuses on the development of new statistical methods and techniques for data science with special attention on computational statistics, data visualisation, the development of fast algorithms and software, and the investigation of the theoretical properties of the newly developed methods.
Research in the areas of probability, statistics, stochastic processes, information theory, coding theory, numerical mathematics. Collaboration with other sections of the university, in particular engineering, medicine, social science, psychology, actuarial studies. Some current research topics: - Simulation, Monte Carlo methods, queueing theory, networks. - Nonparametric statistics, extreme value theory, insurance math. - Statistical design ...