Propose an approach to mitigate the impact of these distributional changes on the model’s performance. Explain how you would balance model accuracy with computational resources.

Apply techniques like data augmentation or regularization to adapt the model to the new statistical properties. Alternatively, consider retraining the model from scratch using a larger dataset that aligns better with the original probability distributions.