Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic!

et al. Comparison of multivariate adaptive regression splines and logistic regression in detecting SNP–SNP interactions and their application in prostate cancer. J Hum Genet 53 , 802–811 (2008 ...

Thomas R. Ten Have, A Mixed Effects Model for Multivariate Ordinal Response Data Including Correlated Discrete Failure Times with Ordinal Responses, Biometrics, Vol. 52, No. 2 (Jun., 1996), pp.

The multivariate model is a popular statistical tool that uses multiple variables to forecast possible investment outcomes.

Motivated by the idea of Liu and Tian (Computational Statistics and Data Analysis, 83, 200-222; 2015), we develop a multivariate zero-inflated hurdle model to describe multivariate count data with ...