Receptor models apportion an ambient mixture of pollutants to the contributing pollution sources. Often, neither the number of sources nor their chemical profiles are known precisely. The dual goals of modeling are to estimate the chemical “signature” of the sources, and to characterize the mixing process. I develop a novel modeling approach for receptor data where all model components are comp...