Multicollinearity in Big Data

This posting reviews approaches to improve the effectiveness of regression in big-data analytics.  Snee (2015) mentions a challenging problem when using big-data to estimate relationships and make predictions.   The data are likely to be observational and multicollinearity may exist among the predictor variables (Clark 2016). Continue reading Multicollinearity in Big Data