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View Code? Open in Web Editor NEWBayesian Quantification with Black-Box Estimators
Home Page: https://openreview.net/forum?id=Ft4kHrOawZ
License: BSD 3-Clause "New" or "Revised" License
Bayesian Quantification with Black-Box Estimators
Home Page: https://openreview.net/forum?id=Ft4kHrOawZ
License: BSD 3-Clause "New" or "Revised" License
The six-panel plot should be refactored into one Snakemake.
Requirements
This estimator is described in this paper
Create the following figures:
Nearly nonidentifiable model and four sample visualisations. Posterior samples, BBSE + bootstrap, both kinds of IR + bootstrap.
Similar experiment, but quite identifiable model with small
Create the following experiment:
For the figure:
Separate the phase of building the PyMC model and sampling (as we may e.g., try a MAP estimate instead).
Take some single-cell data.
Split samples into:
Train a random forest on training, evaluate on validation, evaluate on test.
The plot:
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