RESEARCH CENTRE FOR OPERATIONS RESEARCH AND STATISTICS (ORSTAT)

about us

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 on project portfolio management. Deterministic approaches as well as methods taking the uncertainty into account are investigated. Additionally, nonparametric frontier based methods are studied both theoretically and empirically with applications in a variety of economic domains (e.g., finance, microeconomics and macroeconomics). 

The statistical research topics cover a range of challenging research subjects. Currently, important topics arising with the availability of data in high dimensions are investigated, as well as topics related to the analysis of incomplete data. This requires dealing with identifiability, estimation and variable selection under sparsity, computational algorithms, robustness, and hypothesis testing. The results can be used in time series analysis, for graphical modeling of e.g. medical data, and for the analysis of duration data, coming from e.g. unemployment studies. Another research area is the design and analysis of experiments with applications in industry, marketing, transportation and health economics.

Next to the methodological research, ORSTAT investigates computational aspects, both for statistics and for operations research. In this way the applicability of the proposed methods is facilitated and often software is made available through websites.

This broad range of skills is reflected in the following description of the research topics of each of the group's members.

group members

EVENTS

Past events

  • date_range

    14/05/2020 10:00 - 14/05/2020 11:00

    KBI - Statistics and econometrics seminar by Sebastian Fuchs, Universit├Ąt Salzburg, Austria

    Dissimilarity functions for rank-based hierarchical clustering of continuous variables

    online - email to Prof. Ingrid Van Keilegom
  • date_range

    30/04/2020 10:00 - 30/04/2020 11:00

    KBI - Statistics and econometrics seminar by Germain Van Bever (Université de Namur)

    Depths for scatter and shape parameters

    online - email to Prof. Ingrid Van Keilegom
  • date_range

    23/04/2020 10:00 - 23/04/2020 11:00

    KBI - Statistics and econometrics seminar by Ozan Evkaya (KU Leuven)

    Analysis of drought using copulas and possible benefits of nonparametric approach

    online - email to Prof. Ingrid Van Keilegom

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meet the people

The research at ORSTAT covers a broad range of skills as reflected in the description of the research topics of each of our group's members.

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Publications

Discover publications in our different research fields.

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Projects

ORSTAT researchers are involved in nationally and internationally funded projects.

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doctoral dissertations

At ORSTAT we involve young potentials in PhD projects.

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leuven statistics research centre

ORSTAT members contribute to the Leuven statistics research centre

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other research centres

Find out more about the research centres in the field of decision sciences and information management. 

 

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