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Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models
SENSITIVITY ANALYSIS IN DIAGNOSTIC MODELLING: BAYESIAN UNCERTAINTY ESTIMATION AND REGIONALISED SENSITIVE ASSESSMENT . Expand
Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index
- A. Saltelli, P. Annoni, I. Azzini, F. Campolongo, M. Ratto, S. Tarantola
- Mathematics, Computer Science
- Comput. Phys. Commun.
- 1 February 2010
We compare existing and new techniques for sensitivity analysis of model output and offer recommendations on which to use for the sensitivity index. Expand
Dynare: Reference Manual Version 4
Dynare is a software platform for handling a wide class of economic models, in particular dynamic stochastic general equilibrium (DSGE) and overlapping generations (OLG) models. The models solved by… Expand
QUEST III: An Estimated Open-Economy DSGE Model of the Euro Area with Fiscal and Monetary Policy
Abstract This paper develops a DSGE model for an open economy and estimates it on euro area data using Bayesian estimation techniques. The model features nominal and real frictions, as well as… Expand
Sensitivity analysis for chemical models.
- Andrea Saltelli, M. Ratto, S. Tarantola, F. Campolongo
- Chemistry, Medicine
- Chemical reviews
- 19 May 2005
Chemists routinely create models of reaction systems to understand reaction mechanisms, kinetic properties, process yields under various operating conditions, or the impact of chemicals on man and… Expand
Sensitivity Analysis in Practice
Sensitivity analysis practices: Strategies for model-based inference
- A. Saltelli, M. Ratto, S. Tarantola, F. Campolongo
- Computer Science
- Reliab. Eng. Syst. Saf.
- 1 October 2006
We analyse the requirements of SA in the context of modelling, and present best available practices on the basis of an elementary model. Expand
Sensitivity analysis in model calibration: GSA-GLUE approach
A new approach is presented applicable in framework of model calibration to observed data. The approach consists of a combination of the Generalized Likelihood Uncertainty Estimation technique (GLUE)… Expand
State Dependent Parameter metamodelling and sensitivity analysis
We present a unified procedure which exploits sampling, screening and model approximation techniques to deal with model approximation and analysis. Expand