Regression models predict outcomes like housing prices from various inputs. Machine learning enhances regression by analyzing large, complex datasets. Different regression types address varied data ...

Regression to the mean has the potential to fool everyone, even NBA coaches building systems of positive and negative reinforcement. These are challenging times, but one thing I’ve enjoyed about ...

Dr. James McCaffrey of Microsoft Research presents the second of four machine learning articles that detail a complete end-to-end production-quality example of neural regression using PyTorch. The ...

In this article, we consider sufficient dimension folding for the regression mean function when predictors are matrix- or array-valued. We propose a new concept named central mean dimension folding ...

The trimmed mean is well-known in literature for being more robust and for having better efficiency than the sample mean when data is generated from heavy-tailed distributions. In this article, the ...