158 citations · 171 across the 4 of their papers we have counts for
5 papers
Nested sampling for physical scientists
Greg Ashton, Noam Bernstein, Johannes Buchner +20
We review Skilling's nested sampling (NS) algorithm for Bayesian inference and more broadly multi-dimensional integration. After recapitulating the principles of NS, we survey deve…
Bayesian posterior repartitioning for nested sampling
Xi Chen, Farhan Feroz, Michael Hobson
Priors in Bayesian analyses often encode informative domain knowledge that can be useful in making the inference process more efficient. Occasionally, however, priors may be unrepr…
Bayesian surrogate learning in dynamic simulator-based regression problems
Xi Chen, Mike Hobson
The estimation of unknown values of parameters (or hidden variables, control variables) that characterise a physical system often relies on the comparison of measured data with syn…
Improving the efficiency and robustness of nested sampling using posterior repartitioning
Xi Chen, Mike Hobson, Saptarshi Das +1
In real-world Bayesian inference applications, prior assumptions regarding the parameters of interest may be unrepresentative of their actual values for a given dataset. In particu…
Fast GPU-Based Seismogram Simulation from Microseismic Events in Marine Environments Using Heterogeneous Velocity Models
Saptarshi Das, Xi Chen, Michael P. Hobson
A novel approach is presented for fast generation of synthetic seismograms due to microseismic events, using heterogeneous marine velocity models. The partial differential equation…