Computation & reproducibility
8 open problems
Runtime, integration error, prior dependence in weakly identified models, and the analyst choices that never make it into the write-up.
| ID | Problem | Priority | Verdict | Maturity | prank |
|---|---|---|---|---|---|
| CMU-02 | Priors, not data, can drive posteriors in weakly identified models | Very high | Partially addressed | Promising | 1 |
| CMU-05 | Failed fits are deleted rather than classified and reported | Very high | Partially addressed | Established | 1 |
| CMU-08 | No cross-package benchmark or reference pipeline for ITC software | Very high | Overstated | Emerging | 1 |
| CMU-03 | Bayesian component ML-NMR and bridge models lack SBC validation | High | Partially addressed | Established | 2 |
| CMU-04 | Computational diagnostics and Monte Carlo error go unreported | High | Partially addressed | Established | 2 |
| CMU-06 | Simulation studies publish no registry, seeds, or environment locks | High | Partially addressed | Established | 2 |
| CMU-07 | Published PAIC analyses do not record the choices that drive them | High | Partially addressed | Emerging | 2 |
| CMU-01 | ML-NMR integration cost is unaddressed for flexible survival models | Medium-high | Overstated | Promising | 3 |
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