GitHub - erikaibarrac/Bayesian-Inference-for-Blood-Glucose-Analysis: Utilizing Bayesian inference, we aim to adapt the acceptance-rejection MCMC algorithm, Metropolis-Hastings, to produce an adequate posterior distribution that can describe the behavior of glucose levels in blood measurements. This will allow the creation of more data without the medical intervention to obtain blood samples.

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Utilizing Bayesian inference, we aim to adapt the acceptance-rejection MCMC algorithm, Metropolis-Hastings, to produce an adequate posterior distribution that can describe the behavior of glucose levels in blood measurements. This will allow the creation of more data without the medical intervention to obtain blood samples.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
first.ipynb		first.ipynb
glucose_eval.py		glucose_eval.py
main.ipynb		main.ipynb
old.ipynb		old.ipynb
priors_test.ipynb		priors_test.ipynb
write_up.pdf		write_up.pdf