Modern machine learning methods have enabled major advances in analyzing big data, but the current state-of-the-art technology is not suited for the intricacies of surveys that use complex sampling ...

Our findings suggest that integrating machine learning into traditional statistical methods can provide more accurate and generalizable models for disease risk prediction. This approach has the ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

A machine learning method developed by researchers from the Institute of Science Tokyo, the Institute of Statistical ...

Ying-Qi Zhao, Donglin Zeng, Eric B. Laber, Michael R. Kosorok, New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes, Journal of the American Statistical Association, Vol.

Keywords: statistical model selection, assumptions, linear regression, ANOVA, machine learning, homoscedasticity, normality, independence, data transformation, non-parametric tests, robust ...