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Estimation of parameter uncertainty for an activated sludge model using Bayesian inference: a comparison with the frequentist method

Autor
Juznic, Z.; Flotats, X.; Magrí, A.
Tipus d'activitat
Article en revista
Revista
Environmental technology
Data de publicació
2014-07-03
Volum
35
Número
13
Pàgina inicial
1618
Pàgina final
1629
DOI
https://doi.org/10.1080/09593330.2013.876450 Obrir en finestra nova
Projecte finançador
Tratamiento anaerobio avanzado para substratos con alto contenido en lípidos y proteinas (ADAMOX)
Repositori
http://hdl.handle.net/2117/24979 Obrir en finestra nova
URL
http://www.tandfonline.com/doi/abs/10.1080/09593330.2013.876450#.U19tFFV_uSo Obrir en finestra nova
Resum
The procedure commonly used for the assessment of the parameters included in activated sludge models (ASMs) relies on the estimation of their optimal value within a confidence region (i.e. frequentist inference). Once optimal values are estimated, parameter uncertainty is computed through the covariance matrix. However, alternative approaches based on the consideration of the model parameters as probability distributions (i.e. Bayesian inference), may be of interest. The aim of this work is to a...
Citació
Juznic, Z.; Flotats, X.; Magrí, A. Estimation of parameter uncertainty for an activated sludge model using Bayesian inference: a comparison with the frequentist method. "Environmental technology", 03 Juliol 2014, vol. 35, núm. 13, p. 1618-1629.
Paraules clau
AEROBIC CONDITIONS, Bayesian, CULTURES, DESIGN, GROWTH-PROCESSES, Hessian, Markov chain Monte Carlo, PRACTICAL IDENTIFIABILITY, SENSITIVITY-ANALYSIS, STORAGE, SYSTEMS, WASTEWATERS, activated sludge model, parameter uncertainty
Grup de recerca
GREA - Grup de Recerca d´Enginyeria Agro-Ambiental

Participants