@inbook{354c553650364301b91ffb3630688a39,
title = "Calibration in a Bayesian modelling framework",
abstract = "Bayesian statistics may constitute the core of a consistent and comprehensive framework for the statistical aspects of modelling complex processes that involve many parameters whose values are derived from many sources. Bayesian statistics holds great promises for model calibration, provides the perfect starting point for uncertainty analysis and provides an excellent starting point for decision support. The purpose of this paper is to draw attention to problems and possible solutions. It is not our intention to introduce ready-for-use methods",
keywords = "bayesiaanse theorie, monte carlo-methode, wiskundige modellen, kalibratie, onzekerheid, beslissingsondersteunende systemen, bayesian theory, monte carlo method, mathematical models, calibration, uncertainty, decision support systems",
author = "M.J.W. Jansen and T.H.J. Hagenaars",
year = "2004",
language = "English",
isbn = "9781402019166",
series = "Wageningen UR Frontis series",
publisher = "Kluwer",
number = "vol. 3",
pages = "47--55",
editor = "van Boekel and A. Stein and van Bruggen",
booktitle = "Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain",
}