Author: Vedant Chandra
Title: Stochastic Compartmental Modelling of SARS-CoV-2 with Approximate Bayesian Computation Document date: 2020_4_1
ID: itviia7v_8
Snippet: We use the pyabc package in Python (Klinger et al. 2018) for our ABC procedure. We employ a simple particle filter algorithm (sequential Monte Carlo) that accepts or rejects sampled particles based on the selection criterion d < , until p particles have been accumulated. The first iteration samples uniform priors on each parameter, and each subsequent iteration samples the posterior of the previous iteration. We shrink by setting i of the i th it.....
Document: We use the pyabc package in Python (Klinger et al. 2018) for our ABC procedure. We employ a simple particle filter algorithm (sequential Monte Carlo) that accepts or rejects sampled particles based on the selection criterion d < , until p particles have been accumulated. The first iteration samples uniform priors on each parameter, and each subsequent iteration samples the posterior of the previous iteration. We shrink by setting i of the i th iteration equal to the median of all the sampled distances d from the (i − 1) th iteration.
Search related documents:
Co phrase search for related documents- Try single phrases listed below for: 1
Co phrase search for related documents, hyperlinks ordered by date