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astro-ph.IM2025
Nested Sampling for ARIMA Model Selection in Astronomical Time-Series Analysis
Ajinkya Naik, Will Handley
The era of large-scale, high-cadence astronomical surveys demands efficient and robust methods for time-series analysis. ARIMA models provide a versatile parametric description of…
astro-ph.IM2025
: A Public Nested Sampling Database for Bayesian Cosmology
Dily Duan Yi Ong, Will Handley
Bayesian inference is central to modern cosmology. While parameter estimation is achievable with unnormalised posteriors traditionally obtained via MCMC methods, comprehensive mode…
astro-ph.IM2025★ 1 cited
Cosmological Parameter Estimation with Sequential Linear Simulation-based Inference
Nicolas Mediato-Diaz, Will Handley
We develop the framework of Linear Simulation-based Inference (LSBI), an application of simulation-based inference where the likelihood is approximated by a Gaussian linear functio…