The overlooked potential of generalized linear models in astronomy – III. Bayesian negative binomial regression and globular cluster populations

In this paper, the third in a series illustrating the power of generalized linear models (GLMs) for the astronomical community, we elucidate the potential of the class of GLMs which handles count data. The size of a galaxy's globular cluster (GC) population (N GC) is a prolonged puzzle in the a...

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Veröffentlicht in:	Monthly notices of the Royal Astronomical Society 2015-10, Vol.453 (2), p.1928-1940
Hauptverfasser:	de Souza, R. S., Hilbe, J. M., Buelens, B., Riggs, J. D., Cameron, E., Ishida, E. E. O., Chies-Santos, A. L., Killedar, M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Astronomical models Astronomy Bayesian analysis Binomials Black holes Globular clusters Mathematical models Methodology Milky Way Morphology Populations Regression Stars & galaxies
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