Assessing the quality of land system models: moving from valibration to evaludation

C Brown, J Millington, M Rounsevell - Socio-Environmental Systems …, 2023 - sesmo.org
Reviews suggest that evaluation of land system models is largely inadequate, with undue
reliance on a vague concept of validation. Efforts to improve and standardise evaluation …

Stochastic simulation with informed rotations of Gaussian quadratures

D Stepanyan, G Zimmermann… - Economic Systems …, 2023 - Taylor & Francis
Given the fast growth of available computational capacities and the increasing complexity of
simulation models addressing agro-environmental issues, uncertainty analysis using …

[PDF][PDF] Comment on “A Monte Carlo filtering application for systematic sensitivity analysis of computable general equilibrium results”

D Stepanyan, H Grethe, K Siddig - Economics Bulletin, 2019 - academia.edu
In a recent article published in the Journal of Economic Systems Research, Mary et al.(2018)
introduced an interesting approach to systematic sensitivity analysis applied in a …

[PDF][PDF] Finite Element Analysis and Design in the Presence of Uncertainties

A Nejadpak - 2021 - scholarship.miami.edu
A new finite element method is presented for the analysis of thermal and structural problems
using universal grey number theory. The universal grey number representation involves …

Improving the Depiction of Uncertainty in Simulation Models by Exploiting the Potential of Gaussian Quadratures

D Stepanyan - 2021 - edoc.hu-berlin.de
Simulation models are an established tool for assessing the impacts of exogenous shocks in
complex systems. Recent increases in available computational power and speed have led …

[PDF][PDF] The Use of Price Elasticity to Estimate Future Volatilities in Stochastic Simulation: an Application to the Korean Rice Market

BM Soon, P Westhoff, S Han, W Thompson - Vol. 42| Special Issue. - repository.krei.re.kr
Stochastic methods, which random draws on selected exogenous variables of an economic
model, generate outcomes for the endogenous variables, are used to capture enough …

[PDF][PDF] The Use of Price Elasticity to Estimate Future Volatilities in Stochastic Simulation: an Application to the Korean Rice Market

S Byungmin, P Westhoff, H Sukho… - Journal of Rural …, 2019 - ageconsearch.umn.edu
Stochastic methods, which random draws on selected exogenous variables of an economic
model, generate outcomes for the endogenous variables, are used to capture enough …