215 citations · 307 across the 5 of their papers we have counts for
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astro-ph.IM2021★ 215 cited
exoplanet: Gradient-based probabilistic inference for exoplanet data & other astronomical time series
Daniel Foreman-Mackey, Rodrigo Luger, Eric Agol +13
"exoplanet" is a toolkit for probabilistic modeling of astronomical time series data, with a focus on observations of exoplanets, using PyMC3 (Salvatier et al., 2016). PyMC3 is a f…
astro-ph.IM2020★ 27 cited
A Fast, 2D Gaussian Process Method Based on Celerite: Applications to Transiting Exoplanet Discovery and Characterization
Tyler Gordon, Eric Agol, Daniel Foreman-Mackey
Gaussian processes (GPs) are commonly used as a model of stochastic variability in astrophysical time series. In particular, GPs are frequently employed to account for correlated s…