A synthetic multi-dimensional (10 dimensions) linear regression dataset with latent weights ("w"), intercept, and noise ("eps"). Five hundred data points, fit with PyMC3. True weights and intercep
Linear ordinary least squares (OLS) regression assumes an unskewed distribution of the residuals for correct inference and prediction. A proof is given that for Manly’s exponential transformation of t
