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Blazars are known to show periods of quiescence followed by outbursts visiblethroughout the electromagnetic spectrum. We present a novel maximum likelihoodapproach to capture this bimodal behavior by examining blazar radio variabilityin the flux-density domain. We separate quiescent and flaring components of asource's light curve by modeling its flux-density distribution as a series of"off" and "on" states. Our modeling allows us to extract information regardingthe flaring ratio, duty cycle, and the modulation index in the "off"-state, inthe "on"-state, as well as throughout the monitoring period of each blazar. Weapply our method to a flux-density-limited subsample from the Owens ValleyRadio observatory's 15 GHz blazar monitoring program, and explore differencesin the variability characteristics between BL Lacs and FSRQs as well as between$\gamma$-ray detected and non-detected sources. We find that: (1) BL Lacs aremore variable and have relatively larger outbursts than the FSRQs, (2)unclassified blazar candidates in our sample show similar variabilitycharacteristics as the FSRQs, and (3) $\gamma$-ray detected differ from the$\gamma$-ray non-detected sources in all their variability properties,suggesting a link between the production of $\gamma$-rays and the mechanismresponsible for the radio variability. Finally, we fit distributions for blazarflaring ratios, duty cycles, and on- and off- modulation indices that can beused in population studies of variability-dependent blazar properties.

Bimodal radio variability in OVRO-40m-monitored blazars