ISISNeutronMuon / ISISNeutronMuon/quickBayes
JOSS doc changes
- Dominant language
- Python
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- 1
- Forks
- 2
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Description
As part of the JOSS review I will need to rewrite some of the docs. The plan is to have the following:
Introduction
- what is bayes? - priors, models, posteriors
- why use bayes? - to get the probability of a model and why this is important
- Discussion on comparison to other methods ([AIC](https://en.wikipedia.org/wiki/Akaike_information_criterion), [BIC](https://en.wikipedia.org/wiki/Bayesian_information_criterion) and [nested sampling](https://en.wikipedia.org/wiki/Nested_sampling_algorithm) and MCMC)
Theory
- executive summary of the main equation and assumptions
- derive the main equation and highlight the assumptions
Examples
- QENS data to identify the number of peaks present
- Identifying the number of decays in muon spectroscopy data
- Background identification (with creating a new workflow)
Contributor guide
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Assessment
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