Using informative priors in the estimation of mixtures over time with application to aerosol particle size distributions


Autoria(s): Wraith, Darren; Mengersen, Kerrie; Alston, Clair; Rousseau, Judith; Hussein, Tareq
Data(s)

2014

Resumo

The issue of using informative priors for estimation of mixtures at multiple time points is examined. Several different informative priors and an independent prior are compared using samples of actual and simulated aerosol particle size distribution (PSD) data. Measurements of aerosol PSDs refer to the concentration of aerosol particles in terms of their size, which is typically multimodal in nature and collected at frequent time intervals. The use of informative priors is found to better identify component parameters at each time point and more clearly establish patterns in the parameters over time. Some caveats to this finding are discussed.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/74846/

Publicador

Institute of Mathematical Statistics

Relação

http://eprints.qut.edu.au/74846/1/ePrint-74846_PUB.pdf

DOI:10.1214/13-AOAS678

Wraith, Darren, Mengersen, Kerrie, Alston, Clair, Rousseau, Judith, & Hussein, Tareq (2014) Using informative priors in the estimation of mixtures over time with application to aerosol particle size distributions. The Annals of Applied Statistics, 8(1), pp. 232-258.

Direitos

Copyright 2014 Institute of Mathematical Statistics

Fonte

Institute for Future Environments; School of Mathematical Sciences; Science & Engineering Faculty

Palavras-Chave #010401 Applied Statistics #050206 Environmental Monitoring #Bayesian statistics #mixture models #time series #aerosol particle size distribution
Tipo

Journal Article