Identifying Activity-sensitive Spectral Lines: A Bayesian Variable Selection Approach-Reference-Cited by-同舟云学术

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Identifying Activity-sensitive Spectral Lines: A Bayesian Variable Selection Approach

Published:2019-11-01 Issue:5 Volume:158 Page:210
ISSN:1538-3881
Container-title:The Astronomical Journal
language:
Short-container-title:AJ

Author:

Ning Bo^ORCID,Wise Alexander^ORCID,Cisewski-Kehe Jessi^ORCID,Dodson-Robinson Sarah^ORCID,Fischer Debra^ORCID

Funder

Bo Ning, Jessi Cisewski, and Debra Fischer

Jessi Cisewski and Debra Fischer

Alexander Wise

Sarah Dodson-Robinson

Publisher

American Astronomical Society

Subject

Space and Planetary Science,Astronomy and Astrophysics

Link

https://iopscience.iop.org/article/10.3847/1538-3881/ab441c/pdf

Reference37 articles.

1. Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models

2. Bayesian linear regression with sparse priors

3. Needles and Straw in a Haystack: Posterior concentration for possibly sparse sequences

4. STELLAR SURFACE MAGNETO-CONVECTION AS A SOURCE OF ASTROPHYSICAL NOISE. I. MULTI-COMPONENT PARAMETERIZATION OF ABSORPTION LINE PROFILES

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5. A Stellar Activity F-statistic for Exoplanet Surveys (SAFE);The Astronomical Journal;2021-05-19

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