Results 11 to 20 of about 43 (43)
Abstract We propose a simple, statistically principled, and theoretically justified method to improve supervised learning when the training set is not representative, a situation known as covariate shift. We build upon a well‐established methodology in causal inference and show that the effects of covariate shift can be reduced or eliminated by ...
Maximilian Autenrieth +3 more
wiley +1 more source
Automatic Parallel Tempering Markov Chain Monte Carlo with Nii-C
Due to the high dimensionality or multimodality that is common in modern astronomy, sampling Bayesian posteriors can be challenging. Several publicly available codes based on different sampling algorithms can solve these complex models, but the execution
Sheng Jin, Wenxin Jiang, Dong-Hong Wu
doaj +1 more source
The observing strategy (OS) of an astronomical survey influences the degree to which its resulting data can be used to accomplish any science goal, necessitating upcoming programs, including those on the Rubin and Roman telescopes, to solicit metrics in ...
Alex I. Malz +4 more
doaj +1 more source
Data Release 3 (DR3) from the Gaia Mission includes radial velocity measurements of over 33 million targets. Among many scientific applications, the overlap of this stellar sample with targeted exoplanet transit survey stars presents an opportunity to ...
Quadry Chance +5 more
doaj +1 more source
Designing an Optimal Kilonova Search Using DECam for Gravitational-wave Events
We address the problem of optimally identifying all kilonovae detected via gravitational-wave emission in the upcoming LIGO/Virgo/KAGRA observing run, O4, which is expected to be sensitive to a factor of ∼7 more binary neutron star (BNS) alerts than ...
C. R. Bom +69 more
doaj +1 more source
Diffuse X-Ray Emission in M51: A Hierarchical Bayesian Spatially Resolved Spectral Analysis
X-ray observations can be used to effectively probe the galactic ecosystem, particularly its hot and energetic components. However, existing X-ray studies of nearby star-forming galaxies are limited by insufficient data statistics and a lack of suitable ...
Luan Luan, Q. Daniel Wang
doaj +1 more source
Detecting Stellar Flares in Photometric Data Using Hidden Markov Models
We present a hidden Markov model (HMM) for discovering stellar flares in light-curve data of stars. HMMs provide a framework to model time series data that are nonstationary; they allow for systems to be in different states at different times and ...
J. Arturo Esquivel +7 more
doaj +1 more source
Joint Deconvolution of Astronomical Images in the Presence of Poisson Noise
We present a new framework for joint likelihood deconvolution ( Jolideco ) of a set of astronomical observations of the same sky region in the presence of Poisson noise.
Axel Donath +4 more
doaj +1 more source
Quantification of High-dimensional Non-Gaussianities and Its Implication to Fisher Analysis in Cosmology. [PDF]
Park CF +3 more
europepmc +1 more source
Formation of the first three gravitational-wave observations through isolated binary evolution. [PDF]
Stevenson S +6 more
europepmc +1 more source

