https://github.com/axsk/gync.jl
Bayesian inference for the GynCycle model
Science Score: 13.0%
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Low similarity (6.7%) to scientific vocabulary
Keywords
bayesian-inference
empirical-bayes
mcmc
paper
zib
Last synced: 5 months ago
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Bayesian inference for the GynCycle model
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Topics
bayesian-inference
empirical-bayes
mcmc
paper
zib
Created over 10 years ago
· Last pushed over 8 years ago
Metadata Files
Readme
README.md
GynC.jl
This package provides the toolchain to estimate the parameters of the GynCycle model.
Its code mainly revolves around the three main types:
Configwhich stores the bayesian model configuration, i.e. the patient data, measurement error, priors, ... as well as the MCMC proposal density and the thinning.Samplingwhich is obtained by sampling from a config viasample(::Config, iters)containing the sampled points, the current sampler state, as well as a reference to its initial config.WeightedChainwhich can be constructed from multiple samplings viaWeightedChain(::Vector{Sampling})representing the average/merged chain and is used for further prior estimation steps, for example the EM-iteration:emiteration!(::WeightedChain)
Owner
- Name: Alexander
- Login: axsk
- Kind: user
- Location: Berlin
- Company: Zuse Institute Berlin
- Repositories: 55
- Profile: https://github.com/axsk
Mathematician
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| Name | Commits | |
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| axsk | s****3@g****m | 356 |
| Sikorski | b****r@n****e | 1 |
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