probabilistic time series forecasting

Why Your Forecast Gets the Future Right and Still Fails

A forecast can nail the mean and the variance and still describe a future that never happens. That is the paradox this piece tackles head-on, introducing a diffusion head for probabilistic time series forecasting that fixes the gap between statistical accuracy and real-world outcomes. It is a sharp, necessary correction for anyone who trusts their MSE a little too much. For a related look at how models can mislead, explore our coverage of why Gemini Argon tops charts but skips the test that counts.