  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.
