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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Defines path-signature descriptors for spectral line profiles and shows they enable unsupervised clustering of MaNGA Hα spaxels into spatially coherent classes whose stacked spectra recover large-scale velocity patterns.
Derives exact operating characteristic corrections and a numerical search over sample sizes to obtain optimal two-stage Bayes factor designs for two-arm binary-endpoint phase II trials that minimize expected sample size under the null.
Inferential models predict unobserved auxiliary values via calibrated predictive random sets before transferring plausibility to parameters, yielding valid uncertainty statements that relate fiducial, confidence, and belief-function approaches.
UNIONS r-band data constrains S8 to 0.891^{+0.057}_{-0.084} via 2D harmonic-space cosmic shear, consistent with Planck at 0.79 sigma after modeling baryonic feedback and intrinsic alignments.
BILBY is validated on simulated compact binary signals and reproduces the eleven GWTC-1 results with configuration and output files provided for reproduction.
citing papers explorer
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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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The Hidden Geometry of Astrophysical Spectra: Path-Signatures of Line Profiles
Defines path-signature descriptors for spectral line profiles and shows they enable unsupervised clustering of MaNGA Hα spaxels into spatially coherent classes whose stacked spectra recover large-scale velocity patterns.
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Optimal sequential two-stage Bayes Factor Design for two-arm clinical Phase II Trials with binary Endpoints
Derives exact operating characteristic corrections and a numerical search over sample sizes to obtain optimal two-stage Bayes factor designs for two-arm binary-endpoint phase II trials that minimize expected sample size under the null.
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Inferential Models: The Power of Auxiliary Variables for Reasoning with Scientific Uncertainty
Inferential models predict unobserved auxiliary values via calibrated predictive random sets before transferring plausibility to parameters, yielding valid uncertainty statements that relate fiducial, confidence, and belief-function approaches.
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UNIONS-3500 Weak Lensing: IV. 2D cosmological constraints in harmonic space
UNIONS r-band data constrains S8 to 0.891^{+0.057}_{-0.084} via 2D harmonic-space cosmic shear, consistent with Planck at 0.79 sigma after modeling baryonic feedback and intrinsic alignments.
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Bayesian inference for compact binary coalescences with BILBY: Validation and application to the first LIGO--Virgo gravitational-wave transient catalogue
BILBY is validated on simulated compact binary signals and reproduces the eleven GWTC-1 results with configuration and output files provided for reproduction.