Items listed here may include publications such as complete books, chapters in books, encyclopedic type entries, and/or books edited by the Mathematics Department faculty. Entries are prior to the creation of the Mathematics and Economics Department in fall 2023. For publications after that date, please click on the following link: Mathematics and Economics Faculty Book Publications.


Manuscripts from 2023


Effective Bankruptcy Prediction Models for North American Companies, Rachel Cardarelli, Son Nguyen, Rick Gorvett, and JOHN T. QUINN

Manuscripts from 2022


US Medical Expense Analysis Through Frequency and Severity Bootstrapping and Regression Model, Fangjun Li and Gao Niu


Automobile Fatal Accident and Insurance Claim Analysis Through Artificial Neural Network, Xiangming Liu and Gao Niu


Insurance Company Efficiency Analysis Through Data Envelopment Analysis (DEA) During COVID-19 Pandemic, Gao Niu, JOHN T. QUINN, and Alan Olinsky

Manuscripts from 2020


Cluster Analysis in R with Big Data Applications, Alicia T. Lamere


Inference of Gene Co-expression Networks from Single-Cell RNA-Sequencing Data, Alicia T. Lamere

A Comparison of Machine Learning Algorithms of Big Data for Time Series Forecasting Using Python, Son Nguyen and Anthony Park

Generalized Linear Model for Automobile Fatality Rate Predication in R, Gao Niu and Alan Olinsky


Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities, Richard S. Segall and Gao Niu

Introduction to the Popular Open Source Statistical Software (OSSS), Zhijian Wu, Zichen Zhao, and Gao Niu

Manuscripts from 2019


Dimension Reduction in Bankruptcy Prediction: A Case Study of North American Companies, Son Nguyen, Edward Golas, William Zywiak, and Kristin Kennedy

Manuscripts from 2003

Mathematics of interest rates, insurance, social security, and pensions, Robert Muksian