Comments (2)
Just some ideas:
- Simplest case of just the
GaussianModel
to introduce the basic building blocks - Some exploration of the
Parameter
andParameters
classes - A notebook on the
BlueiceExtendedModel
with the example config file. Generate some b-only toy data and set a limit on the xsec. - How to build your likelihood in a config file with the
BlueiceExtendedModel
(?) - Compute the sensitivity of the likelihood in the example config with the runner
- ...
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Do you think it makes more sense to have those as exercises with hints (similar to this one) or rather just already solved and executed examples (similar to this one)?
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Related Issues (20)
- Results collation and processing
- ToyMC submission to Midway
- `slice` not working for numpy==1.25.1 HOT 1
- Allow confidence intervals to be computed for only some hypotheses
- Allow the composition of several conf files HOT 3
- Access to templates
- Dealing with static shape parameters HOT 2
- Add degree of freedom to `asymptotic_critical_value`
- Do not submit job when the `output_filename` exists. HOT 2
- Should fit failures be tagged/ warnings thrown etc?
- Define a one-dimensional (spectral fit) statistical model suitable for low/high energy HOT 5
- expectation value bounds
- Improve "static" functionality HOT 2
- Allow arbitrary computation names HOT 3
- Test issue
- Try prefix all filename with a pre-defined path
- Neyman constructor easy initialisation
- A numerical problem of GitHub action
- Want to use `outputfolder` for htcondor submission
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