activity
20222026
most citedNested sampling for physical scientists

158 citations · 208 across the 18 of their papers we have counts for

collaborators
Showing 2025Show all

5 papers · 1 filter

astro-ph.CO2025

A Bayesian Perspective on Evidence for Evolving Dark Energy

Dily Duan Yi Ong, David Yallup, Will Handley

The DESI Collaboration reports a significant preference for a dynamic dark energy model (CDM) over the cosmological constant (CDM) when their data are combined with othe…

astro-ph.CO2025

High-Dimensional Bayesian Model Comparison in Cosmology with GPU-accelerated Nested Sampling and Neural Emulators

Toby Lovick, David Yallup, Davide Piras +2

We demonstrate a GPU-accelerated nested sampling framework for efficient high-dimensional Bayesian inference in cosmology. Using JAX-based neural emulators and likelihoods for cosm…

astro-ph.IM2025

Parallel Nested Slice Sampling for Gravitational Wave Parameter Estimation

David Yallup, Metha Prathaban, James Alvey +1

Inferring parameters and testing hypotheses from gravitational wave signals is a computationally intensive task central to modern astrophysics. Nested sampling, a Bayesian inferenc…

gr-qc2025

Gravitational-wave inference at GPU speed: A bilby-like nested sampling kernel within blackjax-ns

Metha Prathaban, David Yallup, James Alvey +3

We present a GPU-accelerated implementation of the gravitational-wave Bayesian inference pipeline for parameter estimation and model comparison. Specifically, we implement the `acc…

astro-ph.CO2025★ 2 cited

Dynamic or Systematic? Bayesian model selection between dark energy and supernova biases

A. N. Ormondroyd, W. J. Handley, M. P. Hobson +2

The Dark Energy Survey 5-year (DES-5Y) supernovae, combined with Dark Energy Spectroscopic Instrument (DESI) baryon acoustic oscillations, appear to favour Chevallier-Polarski-Lind…