Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 404158
Title Calibration in a Bayesian modelling framework
Author(s) Jansen, M.J.W.; Hagenaars, T.H.J.
Source In: Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain / Boekel, van, Stein, A., Bruggen, van, Dordrecht : Kluwer (Wageningen UR Frontis series vol. 3) - ISBN 1402019165 - p. 47 - 55.
Department(s) PRI Biometris
Publication type Peer reviewed book chapter
Publication year 2004
Keyword(s) bayesiaanse theorie - monte carlo-methode - wiskundige modellen - kalibratie - onzekerheid - beslissingsondersteunende systemen - bayesian theory - monte carlo method - mathematical models - calibration - uncertainty - decision support systems
Categories Mathematical Statistics
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
Comments
There are no comments yet. You can post the first one!
Post a comment
 
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.