Bayesian hierarchical regression on granulation parameters from 363 stars yields radius estimates with ~10% precision that recover reference values within 1σ for 73% of an independent 367-star sample.
Table D.4 of Lund et al
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Granulation signatures as seen by Kepler short-cadence data. II. A hierarchical route to inferring stellar radii from granulation
Bayesian hierarchical regression on granulation parameters from 363 stars yields radius estimates with ~10% precision that recover reference values within 1σ for 73% of an independent 367-star sample.