21 citations · 33 across the 2 of their papers we have counts for
2 papers
math.NA2018★ 12 cited
Expectation Propagation for Poisson Data
Chen Zhang, Simon Arridge, Bangti Jin
The Poisson distribution arises naturally when dealing with data involving counts, and it has found many applications in inverse problems and imaging. In this work, we develop an a…
math.NA2017★ 21 cited
Variational Gaussian Approximation for Poisson Data
Simon Arridge, Kazufumi Ito, Bangti Jin +1
The Poisson model is frequently employed to describe count data, but in a Bayesian context it leads to an analytically intractable posterior probability distribution. In this work,…