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Overcoming the limitations of traditional model-updating approaches

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Theory and Simulation in Neuroscience

Wulfram Gerstner

Modeling work in neuroscience can be classified using two different criteria. The first one is the complexity of the model, ranging from simplified conceptual models that are amenable to mathematical analysis to detailed models that require simulations in ...

Amer Assoc Advancement Science2012

Statistical Modeling of Spatial Extremes

Anthony Christopher Davison, Simone Padoan

The areal modeling of the extremes of a natural process such as rainfall or temperature is important in environmental statistics; for example, understanding extreme areal rainfall is crucial in flood protection. This article reviews recent progress in the ...

Institute of Mathematical Statistics2012

Bayesian demand calibration for dynamic traffic simulations

Michel Bierlaire, Gunnar Flötteröd

We present an operational framework for the calibration of demand models for dynamic traffic simulations, where calibration refers to the estimation of a structurally predefined model's parameters from real data. Our focus is on disaggregate simulators tha ...

2011

Multimodel Structural Performance Monitoring

Ian Smith, James-Alexandre Goulet

Measurements from load tests may lead to numerical models that better reflect structural behavior. This kind of system identification is not straightforward due to important uncertainties in measurement and models. Moreover, since system identification is ...

2010

Parameters identification of a power plant model for the simulation of islanding transients

Mario Paolone, Carlo Alberto Nucci

The paper presents a procedure for parameter identification along with its application to the model of a combined cycle power plant that includes the surrounding electrical network, built for the analysis of islanding maneuvers transients. The paper illust ...

2010

A quasi-analytical model for nanowire FETs with arbitrary polygonal cross section

Mihai Adrian Ionescu, Luca De Michielis, Luca Selmi

In this work a quasi-analytical physical model has been developed for the prediction of the potential in SiNW devices with arbitrary polygonal cross section. The model is then extended to the transport direction; a method for the calculation of the natural ...

Elsevier2010

Towards a Scientific Model Management System

Stefano Spaccapietra, José Antonio Fernandes de Macedo

Computational models of biological systems aim at accurately simulating in vivo phenomena. They have become a very powerful tool enabling scientists to study complex behavior. A side effect of their success Unfortunately exists and is observed as an increa ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2008

Quantifying hydrological modeling errors through a mixture of normal distributions

André Musy, Bettina Schaefli

Bayesian inference of posterior parameter distributions has become widely used in hydrological modeling to estimate the associated modeling uncertainty. The classical underlying statistical model assumes a Gaussian modeling error with zero mean and a given ...

2007

Semiparametric Latent Factor Models

Matthias Seeger

We propose a semiparametric model for regression and classification problems involving multiple response variables. The model makes use of a set of Gaussian processes to model the relationship to the inputs in a nonparametric fashion. Conditional dependenc ...

2005

Segregation mechanisms in a numerical model of a binary granular mixture

Pedro Miguel Nunes Pereira de Almeida Reis

A simple phenomenological numerical model of a binary granular mixture is developed and investigated numerically. We attempt to model a recently reported experimental system where a horizontally vibrated binary monolayer was found to exhibit a transition f ...

2005