Simulation plays a major role in the conception, the optimization and the certification of
complex systems. Of particular interest here is the calibration of the parameters of computer …

We present a case study for Bayesian analysis and proper representation of distributions
and dependence among parameters when calibrating process-oriented environmental …

The recent accelerated growth in the computing power has generated popularization of
experimentation with dynamic computer models in various physical and engineering …

This paper presents a Bayesian calibration method for a simulation-based model with
stochastic functional input and output. The originality of the method lies in an adaptation …

Modern advanced manufacturing and advanced materials design often require searches of
relatively high-dimensional process control parameter spaces for settings that result in …

Calibration of hydrological time-series models is a challenging task since these models give
a wide spectrum of output series and calibration procedures require significant amount of …

Computer simulators are widely used to describe and explore complex physical processes.
The simulator outputs may come in various formats: scalar, multivariate, functional, time …

Computer simulators are often used as a substitute of complex real-life phenomena, which
are either expensive or infeasible to experiment with. This paper focuses on how to …

A comprehensive understanding of the population growth of a variety of pests is often crucial
for efficient crop management. Our motivating application comes from calibrating a two …

In this paper we consider a dynamic computer simulator that produces a time-series
response $ y_t (x) $ over $ L $ time points, for every given input parameter $ x $. We …