Using informative priors in the estimation of mixtures over time with application to aerosol particle size distributions
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Publication:2453667
DOI10.1214/13-AOAS678zbMath1454.62102arXiv1404.4244WikidataQ56994182 ScholiaQ56994182MaRDI QIDQ2453667
Tareq Hussein, Darren Wraith, Judith Rousseau, C. L. Alston, Kerrie L. Mengersen
Publication date: 10 June 2014
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1404.4244
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)
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Cites Work
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- Asymptotic Behaviour of the Posterior Distribution in Overfitted Mixture Models
- Bayesian forecasting and dynamic models.
- Model based labeling for mixture models
- Allowing for the effect of data binning in a Bayesian normal mixture model
- Bayesian mixture models in a longitudinal setting for analysing sheep CAT scan images
- Bayesian analysis of mixture models with an unknown number of components\,--\,an alternative to reversible jump methods.
- Using informative priors in the estimation of mixtures over time with application to aerosol particle size distributions
- Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling
- Finite mixture and Markov switching models.
- Bayesian dynamic modeling of latent trait distributions
- An extension of the Dirichlet prior for the analysis of longitudinal multinomial data
- Hidden Markov Models and Disease Mapping
- On Optimality Properties of the Power Prior
- Computational and Inferential Difficulties with Mixture Posterior Distributions
- Modelling Spatially Correlated Data via Mixtures: A Bayesian Approach
- Markov chain Monte Carlo Estimation of Classical and Dynamic Switching and Mixture Models
- Maximum a posteriori sequence estimation using Monte Carlo particle filters
- Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)
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