This repository contains the results and source code for the simulation experiments in the paper
Jullum, M. (2020) Investigating mesh based approximation methods for the normalization constant in the Cox process likelihood, Stat, in press, doi.org/10.1002/sta4.285
The preprint of the paper is available here, and the supporting information (preprint) here
source_code/help_functions.R
Functions containing the implementation of all the differnet approximation methods for the integral in question, in addition to a series of help functions related to the simulation experiments.source_code/full_simulations_script.R
The script used to carry out the full simulation experiment in the paper. The script also contains the short test version that quickly runs trough some parameter combinations (to check that the script works as intended).source_code/permutation_tests.R
The script used to carry out the permutation tests mentioned in the paper.source_code/illustrating_mesh_approximated_field.R
A self-contained script for illustating how to approximate a given field on specific mesh using the finite element method (FEM).
A sort and searchable table with the full simulation results is available here.
A sort and searchable table with results for permutation tests of pairwise differences between all combinations of the approximation methods, for each parameter combination is available here.
Any questions about the paper, simulations or scripts can be raised by opening a GitHub issue, or sending an email to the author jullum@nr.no.