4 papers
Solidarity of Spectral Gaps for Component-Wise Markov Chains
Youngwoo Kwon, Galin Jones, Qian Qin
Deterministic-scan and random-scan component-wise Markov chain Monte Carlo algorithms, such as Gibbs samplers and conditional Metropolis-Hastings, are popular approaches for sampli…
A scalable Bayesian framework for galaxy emission line detection and redshift estimation
Alexander Kuhn, Bonnabelle Zabelle, Sara Algeri +2
Estimating galaxy redshifts is crucial for constraining key physical quantities like those in the equation of state of dark energy. Modern telescopes such as the James Webb Space T…
On Validating Angular Power Spectral Models for the Stochastic Gravitational-Wave Background Without Distributional Assumptions
Xiangyu Zhang, Erik Floden, Hongru Zhao +4
It is demonstrated that estimators of the angular power spectrum commonly used for the stochastic gravitational-wave background (SGWB) lack a closed-form analytical expression for…
Testing models for angular power spectra: A distribution-free approach
Sara Algeri, Xiangyu Zhang, Erik Floden +4
A novel goodness-of-fit strategy is introduced for testing models of angular power spectra with unknown parameters. Using this strategy, it is possible to assess the validity of su…