First use of the learned harmonic mean estimator for Bayesian model selection across circular/eccentric, white-noise/GP, and trend variants in radial velocity exoplanet analyses.
Exoplanet MCMC parallel tempering for RV orbit retrieval
2 Pith papers cite this work. Polarity classification is still indexing.
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Bayesian MCMC decomposition of the G339.884-1.259 methanol maser spectrum identifies seven velocity components and statistically prefers the Voigt profile over Gaussian or Lorentzian based on AIC, BIC, RMSE, and R².
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Improving exoplanet mass characterisation with Bayesian model selection using the Learned Harmonic Mean Estimator
First use of the learned harmonic mean estimator for Bayesian model selection across circular/eccentric, white-noise/GP, and trend variants in radial velocity exoplanet analyses.
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Bayesian estimation of spectral parameters of the 6.7-GHz methanol maser G339.884-1.259 from GRAO observations
Bayesian MCMC decomposition of the G339.884-1.259 methanol maser spectrum identifies seven velocity components and statistically prefers the Voigt profile over Gaussian or Lorentzian based on AIC, BIC, RMSE, and R².