bayesian_hierarchical_modelling_of_noisy_gamma_processes
The code to reproduce the manuscript "Bayesian hierarchical modelling of noisy gamma processes: model formulation, identifiability, model fitting, and extensions to unit-to-unit variability".
https://github.com/rleadbett/bayesian_hierarchical_modelling_of_noisy_gamma_processes
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: arxiv.org, zenodo.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (6.1%) to scientific vocabulary
Repository
The code to reproduce the manuscript "Bayesian hierarchical modelling of noisy gamma processes: model formulation, identifiability, model fitting, and extensions to unit-to-unit variability".
Basic Info
- Host: GitHub
- Owner: rleadbett
- Language: HTML
- Default Branch: main
- Size: 43.6 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
Bayesian hierarchical modelling of noisy gamma processes
This repository contains tex, code, and online appendix for
Leadbetter, R., Caceres, G. G., & Phatak, A. (2024). Bayesian Hierarchical Modelling of Noisy Gamma Processes: Model Formulation, Identifiability, Model Fitting, and Extensions to Unit-to-Unit Variability. ArXiv. /abs/2406.11216
Guide to repository
R/ Contains all code necessary to reproduce the main analysis. The .qmd files are Quarto documents with embedded R code and can be compiled by installing Quarto and R and running quarto render supplementary-material-1.qmd from the command line or by using RStudio.
figures/ All figures used to generate the main manuscript (generated by .qmd files).
paper/ All .tex code to generate the article in an arXiv template.
tables/ All tables used to generate the main manuscript in a LaTeX format (generated by .qmd files).
Owner
- Login: rleadbett
- Kind: user
- Repositories: 1
- Profile: https://github.com/rleadbett
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
Code for 'Bayesian hierarchical modelling of noisy gamma
processes: model formulation, identifiability, model
fitting, and extensions to unit-to-unit variability'
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Ryan
family-names: Leadbetter
email: ryan.leadbetter@postgrad.curtin.edu.au
name-particle: ryan
affiliation: >-
Centre for Transforming Maintenance through Data
Science, Curtin University
- given-names: Gabriel
family-names: Gonzalez Caceres
email: G.Gonzalez@postgrad.curtin.edu.au
affiliation: >-
Centre for Transforming Maintenance through Data
Science, Curtin University
- given-names: Aloke
family-names: Phatak
email: Aloke.Phatak@curtin.edu.au
affiliation: >-
Centre for Transforming Maintenance through Data
Science, Curtin University
identifiers:
- type: doi
value: 10.5281/zenodo.11900591
repository-code: >-
https://github.com/rleadbett/Bayesian_hierarchical_modelling_of_noisy_gamma_processes
license: MIT
preferred-citation:
type: article
authors:
- family-names: "Leadbetter"
given-names: "Ryan"
- family-names: "Gonzalez Caceres"
given-names: "Gabriel"
- family-names: "Phatak"
given-names: "Aloke"
journal: "ArXiv"
volume: 2406.11216
title: "Bayesian hierarchical modelling of noisy gamma processes: model formulation, identifiability, model fitting, and extensions to unit-to-unit variability"
year: 2024
url: https://arxiv.org/abs/2406.11216