1. General Model Information

Name: UNCSIM Program package for uncertainty analysis and Bayesian inference

Acronym: UNCSIM

Main medium: all
Main subject: any
Organization level: any
Type of model: not specified
Main application: simulation/optimisation tool
Keywords: uncertainty analysis, Bayesian inference


Peter Reichert
Department of Systems Analysis, Integrated Assessment and Modeling (SIAM)
Swiss Federal Institute for Environmental Science and Technology (EAWAG)
PO Box 611
CH - 8600 Dübendorf

Office: CB B12
Phone: +41 - 1 - 823 5281
Fax: +41 - 1 - 823 5375
email: reichert@eawag.ch
Homepage: http://www.internal.eawag.ch/~reichert/


P. Reichert


UNCSIM - Program package for uncertainty analysis and Bayesian inference

This program package is designed to help scientists to perform uncertainty analysis and Bayesian inference with any simulation program. The only requirement of the simulation program is that it is able to read lists of parameter values and provide corresponding chi^2 values or model results. Such an interface is in development for the computer program AQUASIM for simulation and data analysis of aquatic systems. It is important to note, however, that UNCSIM can be used with any other simulation software for which a simple interface has been created. A binary version of the programs will be downloadable from this site for various computing platforms. Source of abstract: EAWAG, UNCSIM Homepage: http://www.uncsim.eawag.ch/

II. Technical Information

II.1 Executables:

Operating System(s):

II.2 Source-code:

Programming Language(s):

II.3 Manuals:

II.4 Data:

III. Mathematical Information

III.1 Mathematics

III.2 Quantities

III.2.1 Input

III.2.2 Output

IV. References

Reichert, P. and Schervish, M., «An efficient sampling technique for Bayesian inference», in preparation.

Reichert, P., «UNCSIM - A program package for uncertainty analysis and Bayesian inference», in preparation.

V. Further information in the World-Wide-Web

VI. Additional remarks

Last review of this document by: J. Bierwirth : Mon Oct 16 2000
Status of the document:
last modified by Tobias Gabele Wed Aug 21 21:44:51 CEST 2002

Go back to Register of Ecological Models (R E M)