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The issue of using informative priors for estimation of mixtures at multipletime points is examined. Several different informative priors and anindependent prior are compared using samples of actual and simulated aerosolparticle size distribution (PSD) data. Measurements of aerosol PSDs refer tothe concentration of aerosol particles in terms of their size, which istypically multimodal in nature and collected at frequent time intervals. Theuse of informative priors is found to better identify component parameters ateach time point and more clearly establish patterns in the parameters overtime. Some caveats to this finding are discussed.

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