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A note on model uncertainty in linear regression
(Blackwell Publ Ltd, 2003-01-01)
We consider model selection uncertainty in linear regression. We study theoretically and by simulation the approach of Buckland and co-workers, who proposed estimating a parameter common to all models under study by taking ...
Ross-Macdonald models: Which one should we use?
(Elsevier Science, 2020-07)
Ross-Macdonald models are the building blocks of most vector-borne disease models. Even for the same disease, different authors use different model formulations, but a study of the dynamical consequences of assuming different ...
Towards Model-Driven Engineering Constraint-Based Scheduling Applications
(Universidade Federal de Pernambuco, 2014)
Data-driven autoregressive model identification for structural health monitoring in anisotropic composite plates
(2019-01-01)
A simple data-driven AutoRegressive (AR) model may be used to assess a model to describe and to predict the time-series outputs of the PZT sensors receiving Lamb waves for different operating conditions in composite ...
Coupled Model Transformations for QoS Enabled Component-Based Software Design
This thesis presents the Palladio Component Model and its accompanying transformations for component-based software design with predictable performance attributes. The use of transformations results in a deterministic ...
Estado del arte, hasta el primer lustro de los noventa, de la demanda residencial de energía
(Universidad de La Salle. Ediciones Unisalle, 23 d)
Cross-validation based forecasting method: a machine learning approach
(2019-02)
Our paper aims to evaluate two novel methods on selecting the best forecasting model or its combination based on a Machine Learning approach. The methods are based on the selection of the ”best” model, or combination of ...
1-D memristor-based cellular automaton for pseudo-random number generation
(IEEE, 2017)
Cellular Automata (CAs) is a well-known parallel, bio-inspired, computational model. It is based on the capability of simpler, locally interacting units, i.e. the CAs cells, to evolve in time, giving rise to emergent ...
Modeling in Pre-service Secondary School Teacher Education: developing an School Scientific Model of Energy
(2021)
In this document, we will present the results of an investigation carried out in initial teacher education for pre-service secondary school Physics and Mathematics teachers in Chile. A Teaching and Learning Sequence (TLS) ...
A three-dimensional multi-agent-based model for the evolution of Chagas’ disease
(2010)
A better understanding of Chagas’ disease is important because the knowledge about the progression and the participation of the different types of cells in this disease are still lacking. To clarify this system, the kinetics ...