1.3k citations · 7.5k across the 52 of their papers we have counts for
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GPU-Accelerated Hierarchical Bayesian Inference with Application to Modeling Cosmic Populations: CUDAHM
János M. Szalai-Gindl, Thomas J. Loredo, Brandon C. Kelly +3
We describe a computational framework for hierarchical Bayesian inference with simple (typically single-plate) parametric graphical models that uses graphics processing units (GPUs…
The Sloan Digital Sky Survey Reverberation Mapping Project: Technical Overview
Yue Shen, W. N. Brandt, Kyle S. Dawson +36
The Sloan Digital Sky Survey Reverberation Mapping project (SDSS-RM) is a dedicated multi-object RM experiment that has spectroscopically monitored a sample of 849 broad-line quasa…
Flexible and Scalable Methods for Quantifying Stochastic Variability in the Era of Massive Time-Domain Astronomical Data Sets
Brandon C. Kelly, Andrew C. Becker, Malgosia Sobolewska +2
We present the use of continuous-time autoregressive moving average (CARMA) models as a method for estimating the variability features of a light curve, and in particular its power…
Dust SEDs in the era of Herschel and Planck: a Hierarchical Bayesian fitting technique
Brandon C. Kelly, Rahul Shetty, Amelia M. Stutz +3
We present a hierarchical Bayesian method for fitting infrared spectral energy distributions (SEDs) of dust emission to observed fluxes. Under the standard assumption of optically…
Measurement Error Models in Astronomy
Brandon C. Kelly
I discuss the effects of measurement error on regression and density estimation. I review the statistical methods that have been developed to correct for measurement error that are…