An application of hierarchical Gaussian processes to the detection of anomalies in star light curves
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.11.087
Abstract: Abstract This study is concerned with astronomical time-series called light-curves that represent the brightness of celestial objects over a period of time. We consider the task of finding anomalous light-curves of periodic variable stars. We… read more here.
Keywords: application hierarchical; processes detection; gaussian processes; hierarchical gaussian ... See more keywords
The SAMI Galaxy Survey: Bayesian inference for gas disc kinematics using a hierarchical Gaussian mixture model
Sign Up to like & getrecommendations! Published in 2019 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stz670
Abstract: We present a novel Bayesian method, referred to as blobby3d, to infer gas kinematics that mitigates the effects of beam smearing for observations using integral field spectroscopy. The method is robust for regularly rotating galaxies… read more here.
Keywords: hierarchical gaussian; using hierarchical; gas; kinematics ... See more keywords
Spatio-Temporal Structured Sparse Regression With Hierarchical Gaussian Process Priors
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2018.2858207
Abstract: This paper introduces a new sparse spatio-temporal structured Gaussian process regression framework for online and offline Bayesian inference. This is the first framework that gives a time-evolving representation of the interdependencies between the components of… read more here.
Keywords: regression; hierarchical gaussian; spatio temporal; process ... See more keywords