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MMP.13:8 - Common Anti-Patterns and How to Avoid Them
| Failure | Repair |
| A confidence interval is read as posterior probability for the observed interval. | State which object varies under the probability law and which claim the construction supports. |
| A likelihood curve or penalized optimum is treated as a posterior distribution. | Supply and normalize the prior-likelihood construction before using posterior probabilities. |
| A derived result is computed only from parameter means or separate standard errors. | Transform the joint inference; retain nonlinear effects and covariance. |
| More readings are assumed to remove a shared uncertainty. | Derive the variance under the actual dependence, as in :5.2. |
| Smaller Monte Carlo error is reported as less subject uncertainty. | Qualify the computed summary separately from the distribution it summarizes. |
| The prior or fitted model is changed without recalculating the receiving conclusion. | Carry the revised assumption through the target and uncertainty calculation. |