9 citations · 26 across the 8 of their papers we have counts for
4 papers · 1 filter
Practical aspects of the virtual noise convex optimum design approach for correlated responses
Markus Hainy, Werner G. Müller, Andrej Pázman
In this paper we present several practically-oriented extensions and considerations for the virtual noise method in optimal design under correlation. First we introduce a slightly…
Active Discrimination Learning for Gaussian Process Models
Elham Yousefi, Luc Pronzato, Markus Hainy +2
The paper covers the design and analysis of experiments to discriminate between two Gaussian process models, such as those widely used in computer experiments, kriging, sensor loca…
Optimal Bayesian design for model discrimination via classification
Markus Hainy, David J. Price, Olivier Restif +1
Performing optimal Bayesian design for discriminating between competing models is computationally intensive as it involves estimating posterior model probabilities for thousands of…
Likelihood-free Simulation-based Optimal Design
Markus Hainy, Werner G. Müller, Helga Wagner
Simulation-based optimal design techniques are a convenient tool for solving a particular class of optimal design problems. The goal is to find the optimal configuration of factor…