Here, we describe an algorithm for simulating a sequence of networks generated from lagged dynamic network regression models DNR (V), a subfamily of TERGMs. Further, we introduce a smoothed estimator ...

Machine learning (ML) has rapidly become one of the most influential technologies across industries, from healthcare and ...

The first step in conducting a regression-based study is to specify a model. In real applications, this is usually the most challenging step - deciding which variables “belong” in the model and which ...

Learn how ARIMA models use time series data for accurate short-term forecasting. Discover its pros, cons, and essential tips ...

Linear regression models the relationship between a dependent and independent variable (s). A linear regression essentially estimates a line of best fit among all variables in the model.

Sheila M. Gore, Stuart J. Pocock, Gillian R. Kerr, Regression Models and Non-Proportional Hazards in the Analysis of Breast Cancer Survival, Journal of the Royal Statistical Society.