activity
20152018
most citedA Causal, Data-Driven Approach to Modeling the Kepler Data

37 citations · 71 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.SR2018★ 9 cited

An Ultraviolet-Optical Color-Metallicity relation for Red Clump Stars using GALEX and Gaia

Steven Mohammed, David Schiminovich, Keith Hawkins +3

Although core helium-burning red clump (RC) stars are faint at ultraviolet wavelengths, their ultraviolet-optical color is a unique and accessible probe of their physical propertie…

astro-ph.IM2017★ 8 cited

A pixel-level model for event discovery in time-domain imaging

Dun Wang, David W. Hogg, Daniel Foreman-Mackey +1

Difference imaging or image subtraction is a method that measures differential photometry by matching the pointing and point-spread function (PSF) between image frames. It is used…

astro-ph.EP2015★ 37 cited

A Causal, Data-Driven Approach to Modeling the Kepler Data

Dun Wang, David W. Hogg, Dan Foreman-Mackey +1

Astronomical observations are affected by several kinds of noise, each with its own causal source; there is photon noise, stochastic source variability, and residuals coming from i…

stat.ML2015★ 6 cited

Removing systematic errors for exoplanet search via latent causes

Bernhard Schölkopf, David W. Hogg, Dun Wang +4

We describe a method for removing the effect of confounders in order to reconstruct a latent quantity of interest. The method, referred to as half-sibling regression, is inspired b…

astro-ph.EP2015★ 11 cited

A systematic search for transiting planets in the K2 data

Daniel Foreman-Mackey, Benjamin T. Montet, David W. Hogg +3

Photometry of stars from the K2 extension of NASA's Kepler mission is afflicted by systematic effects caused by small (few-pixel) drifts in the telescope pointing and other spacecr…