In this article, we provide a random utility-based derivation of the Dirichlet-multinomial regression and propose it as a convenient alternative for dealing with overdispersed multinomial data. We ...

This project applies various econometric models and causal inference techniques using Stata to analyze key business and behavioral metrics. The objectives include assessing content engagement at ...

We have various models available for this purpose such as logistic regression, random forest, decision trees, etc, but all these models come with a trade-off between predictive performance and ...

Abstract: This paper investigates the contributing factors of the driving risk of naturalistic driving using k-means clustering and ordered logit regression. A naturalistic driving experiment is ...

Abstract: Knowledge distillation involves transferring soft labels from a teacher to a student using a shared temperature-based softmax function. However, the assumption of a shared temperature ...

Objectives: This study evaluated the immunomodulatory effects and clinical efficacy of Chinese herbal injections (CHIs) combined with transcatheter arterial chemoembolization (TACE) in hepatocellular ...

If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Logistic Regression Using the SAS System: Theory and Application is for ...