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- Publications
- Influence

A Comparison of Criteria to Design Efficient Choice Experiments

- R. Kessels, P. Goos, M. Vandebroek
- Mathematics
- 1 August 2006

To date, no attempt has been made to design efficient choice experiments by means of the G- and V-optimality criteria. These criteria are known to make precise response predictions, which is exactly… Expand

A Mixed Integer Programming Model for Solving a Layout Problem in the Fashion Industry

- Z. Degraeve, M. Vandebroek
- Mathematics
- 1 March 1998

The cutting operation in the high fashion clothing industry essentially involves putting several layers of cloth on a long cutting table and fixing templates of the parts of several articles on top… Expand

Outperforming Completely Randomized Designs

- P. Goos, M. Vandebroek
- Mathematics
- 1 January 2004

Split-plot designs have become increasingly popular in industrial experimentation because some of the factors under investigation are often hard-to-change. It is well-known that the resulting… Expand

An Efficient Algorithm for Constructing Bayesian Optimal Choice Designs

Recently, Kessels et al. (2006) developed a way to produce Bayesian G- and V-optimal designs for the multinomial logitmodel. These designs allow for precise response predictions which is the goal of… Expand

D-Optimal Split-Plot Designs With Given Numbers and Sizes of Whole Plots

- P. Goos, M. Vandebroek
- Mathematics, Computer Science
- Technometrics
- 1 August 2003

The design of split-plot experiments has received considerable attention during the last few years. The goal of this article is to provide an efficient algorithm to compute D-optimal split-plot… Expand

Practical Inference from Industrial Split-Plot Designs

- P. Goos, Ivan Langhans, M. Vandebroek
- Mathematics
- 1 April 2006

In many industrial response surface experiments, some of the factors investigated are not reset independently. The resulting experimental design then is of the split-plot type, and the observations… Expand

Models and Optimal Designs for Conjoint Choice Experiments Including a No-Choice Option

- B. Vermeulen, P. Goos, M. Vandebroek
- 2007

In a classical conjoint choice experiment, respondents choose one profile from each choice set that has to be evaluated. However, in real life the respondent does not always make a choice: often… Expand

A comparison of variational approximations for fast inference in mixed logit models

- Nicolas Depraetere, M. Vandebroek
- Computer Science, Mathematics
- Comput. Stat.
- 1 March 2017

Variational Bayesian methods aim to address some of the weaknesses (computation time, storage costs and convergence monitoring) of mainstream Markov chain Monte Carlo based inference at the cost of a… Expand

The usefulness of Bayesian optimal designs for discrete choice experiments

- R. Kessels, Bradley Jones, P. Goos, M. Vandebroek
- Economics
- 1 May 2011

Recently, the use of Bayesian optimal designs for discrete choice experiments, also called stated choice experiments or conjoint choice experiments, has gained much attention, stimulating the… Expand

Recursions for the individual model

- J. Dhaene, M. Vandebroek
- Mathematics, Economics
- 1 April 1995

Abstract Recently, Waldmann considered an algorithm to compute the aggregate claims distribution in the individual life model which is an efficient reformulation of the original exact algorithm of De… Expand