This project aims to build a predictive model that forecasts sales based on the money spent on different advertising platforms, using a multivariate linear regression approach. The dataset used for ...

Abstract: The log-binomial regression model is an essential tool for performing relative risk regression to analyze binary outcomes. The Hotelling T2 Control Chart is an effective multivariate process ...

We propose a multivariate functional response low-rank regression model with possible high-dimensional functional responses and scalar covariates. By expanding the slope functions on a set of sieve ...

To write a program to predict the price of the house and number of occupants in the house with SGD regressor. /* Program to implement the multivariate linear regression model for predicting the price ...

"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count data. The most ...

Optimal design of sea-walls requires the extreme value analysis of a variety of oceanographic data. Asymptotic arguments suggest the use of multivariate extreme value models, but empirical studies ...