The utilization of post-acute care services following stroke varies due to significant insurance-dependent racial and ethnic disparities, as well as regional differences.
Using a multinomial logit model, we propose a two-sided market framework for investigating the pricing decisions of a CDP with two differentiated service levels under a general variable commission ...
The "SMS Spam Classification" project aims to develop a machine learning model to automatically identify and classify SMS messages as either spam or legitimate (ham).
Estimating a high-dimensional multinomial logistic regression model with a larger number of categories is of fundamental importance but it presents two challenges. Computationally, it leads to heavy ...