Thank you for your response. Perhaps I misunderstood the situation. I executed the provided code using a normal distribution, and everything seemed to function correctly. However, when I conducted a prior predictive check, I noticed that the model accounts for negative values, even though the observed variable cannot be negative. What would be the most effective approach to address this issue?
Related topics
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| Beta Regression in pyMC3 | 7 | 5589 | September 18, 2017 | |
| Using prior distributions in pymc3 | 0 | 672 | May 30, 2019 | |
| Fitting a Beta Regression | 3 | 1781 | September 19, 2018 | |
| Help with modelling strictly positive real values | 4 | 2573 | September 5, 2017 | |
| A question about the scope of the variable | 4 | 481 | August 8, 2018 |
