50 citations · 176 across the 9 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
q-bio.QM2023
A closer look at parameter identifiability, model selection and handling of censored data with Bayesian Inference in mathematical models of tumour growth
Jamie Porthiyas, Daniel Nussey, Catherine A. A. Beauchemin +3
Mathematical models (MMs) are a powerful tool to help us understand and predict the dynamics of tumour growth under various conditions. In this work, we use 5 MMs with an increasin…
astro-ph.HE2023★ 2 cited
Numerical simulation of photospheric emission in long gamma-ray bursts: prompt correlations, spectral shapes, and polarizations
Hirotaka Ito, Jin Matsumoto, Shigehiro Nagataki +3
We explore the properties of photospheric emission in the context of long gamma-ray bursts (LGRBs) using three numerical models that combine relativistic hydrodynamical simulations…