1 code implementation • 3 Mar 2023 • Nikolaos Karnesis, Michael L. Katz, Natalia Korsakova, Jonathan R. Gair, Nikolaos Stergioulas
In recent years, methods for Bayesian inference have been widely used in many different problems in physics where detection and characterization are necessary.
no code implementations • 5 Apr 2016 • Christopher J. Moore, Alvin J. K. Chua, Christopher P. L. Berry, Jonathan R. Gair
Gaussian process regression (GPR) is a non-parametric Bayesian technique for interpolating or fitting data.
2 code implementations • 19 Jun 2014 • Christopher J. Moore, Stephen R. Taylor, Jonathan R. Gair
The sensitivity curve of a canonical pulsar timing array is calculated for two types of source: a monochromatic wave and a stochastic background.
Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena General Relativity and Quantum Cosmology