39 citations · 106 across the 5 of their papers we have counts for
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astro-ph.IM2014★ 30 cited
The Overlooked Potential of Generalized Linear Models in Astronomy-II: Gamma regression and photometric redshifts
J. Elliott, R. S. de Souza, A. Krone-Martins +3
Machine learning techniques offer a precious tool box for use within astronomy to solve problems involving so-called big data. They provide a means to make accurate predictions abo…
astro-ph.IM2014★ 39 cited
The Overlooked Potential of Generalized Linear Models in Astronomy - I: Binomial Regression
R. S. de Souza, E. Cameron, M. Killedar +6
Revealing hidden patterns in astronomical data is often the path to fundamental scientific breakthroughs; meanwhile the complexity of scientific inquiry increases as more subtle re…