154 citations · 418 across the 20 of their papers we have counts for
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Modeling Dependence Structures in Astronomical Multi-Band Time Series Data via Multi-Output Gaussian Processes
Samata Das, Lishan Shi, Yasaman Hamayouni +2
Modern astronomical time-domain surveys routinely collect multi-band light curves that provide complementary information about the physical processes governing source variability.…
Six Maxims of Statistical Acumen for Astronomical Data Analysis
Hyungsuk Tak, Yang Chen, Vinay L. Kashyap +4
The production of complex astronomical data is accelerating, especially with newer telescopes producing ever more large-scale surveys. The increased quantity, complexity, and varie…
Practical Guidance for Bayesian Inference in Astronomy
Gwendolyn M. Eadie, Joshua S. Speagle, Jessi Cisewski-Kehe +5
In the last two decades, Bayesian inference has become commonplace in astronomy. At the same time, the choice of algorithms, terminology, notation, and interpretation of Bayesian i…
TD-CARMA: Painless, accurate, and scalable estimates of gravitational-lens time delays with flexible CARMA processes
Antoine D. Meyer, David A. van Dyk, Hyungsuk Tak +1
Cosmological parameters encoding our understanding of the expansion history of the Universe can be constrained by the accurate estimation of time delays arising in gravitationally…
Incorporating Measurement Error in Astronomical Object Classification
Sarah Shy, Hyungsuk Tak, Eric D. Feigelson +2
Most general-purpose classification methods, such as support-vector machine (SVM) and random forest (RF), fail to account for an unusual characteristic of astronomical data: known…
Modeling Stochastic Variability in Multi-Band Time Series Data
Zhirui Hu, Hyungsuk Tak
In preparation for the era of the time-domain astronomy with upcoming large-scale surveys, we propose a state-space representation of a multivariate damped random walk process as a…
How proper are Bayesian models in the astronomical literature?
Hyungsuk Tak, Sujit K. Ghosh, Justin A. Ellis
The well-known Bayes theorem assumes that a posterior distribution is a probability distribution. However, the posterior distribution may no longer be a probability distribution if…
Bayesian Estimates of Astronomical Time Delays between Gravitationally Lensed Stochastic Light Curves
Hyungsuk Tak, Kaisey Mandel, David A. van Dyk +3
The gravitational field of a galaxy can act as a lens and deflect the light emitted by a more distant object such as a quasar. Strong gravitational lensing causes multiple images o…
Strong Lens Time Delay Challenge: II. Results of TDC1
Kai Liao, Tommaso Treu, Phil Marshall +23
We present the results of the first strong lens time delay challenge. The motivation, experimental design, and entry level challenge are described in a companion paper. This paper…