Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic! Deep Learning with Yacine Posted: June 12, 2025 | Last updated: July 10, 2025 ...

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.

Multiple linear regression (MLR) is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.

Master Thesis Defense - December 6, 2016: Cluster Analysis of Multivariate Data Using Scaled Dirichlet Finite Mixture Model. December 1, 2016 | Eromonsele Samuel Oboh. Tuesday, December 6, 2016 at ...

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

In this paper we use Ching's multivariate Markov chain model to model the dependency of rating transitions of several credit entities. The model is an enhancement of the multivariate Markov chain ...

A Refresher on Regression Analysis. Understanding one of the most important types of data analysis. by Amy Gallo. November 4, 2015. uptonpark/iStock/Getty Images. Leer en español Ler em português.