  We have developed a new Bayesian Markov Chain Monte Carlo method to
deconvolve light curves of blazars into individual flares, including proper
estimation of the fit errors. We use the method to fit 15\,GHz light curves
obtained within the OVRO 40-m blazar monitoring program where a large number of
AGN have been monitored since 2008 in support of the Fermi Gamma-Ray Space
Telescope mission. The time scales obtained from the fitted models are used to
calculate the variability brightness temperature of the sources. Additionally,
we have calculated brightness temperatures of a sample of these objects using
Very Long Baseline Array data from the MOJAVE survey. Combining these two data
sets enables us to study the intrinsic brightness temperature distribution in
these blazars at 15 GHz. Our preliminary results indicate that the mean
intrinsic brightness temperature in a sample of 14 sources is near the
equipartition brightness temperature of $\sim 10^{11}$K.
