Credit scoring is the term used to describe formal statistical methods used for classifying applicants for credit into `good' and `bad' risk classes. Such methods have become increasingly important ...

We develop a novel statistical approach for classifying generalists and specialists in two distinct habitats. Using a multinomial model based on estimated species relative abundance in two habitats, ...

A method was developed for discovering and validating therapeutically relevant patient subsets using a new paradigm on the basis of predictive classification rather than multiple hypothesis testing. A ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Identify the core functionalities of data modeling in the data mining ...