Gao Niu

Gao Niu

Gao Niu is an Assistant Professor in Actuarial Science and Program Coordinator of Actuarial Math Program at Bryant University. He also serves as the Faculty Consultant of the Janet & Mark L Goldenson Center for Actuarial Research at the University of Connecticut. He has a doctorate in actuarial science from the University of Connecticut, is an Associate of the Casualty Actuarial Society and a Member of the American Academy of Actuaries. Dr. Niu has years of experience in academic actuarial research and consulting practice. His research area includes but not limited to the following: big data analytics application in insurance industry, property and casualty insurance practice, predictive modeling, agent-based modeling, financial planning, life insurance and health insurance pricing, reserving and data mining.

Publications

Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning
Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning
Richard S. Segall, Gao Niu. © 2022. 394 pages.
During these uncertain and turbulent times, intelligent technologies including artificial neural networks (ANN) and machine learning (ML) have played an incredible role in being...
Overview of Big Data and Its Visualization
Overview of Big Data and Its Visualization
Richard S. Segall, Gao Niu. © 2022. 32 pages.
Big Data is data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. This chapter discusses what Big...
US Medical Expense Analysis Through Frequency and Severity Bootstrapping and Regression Model
US Medical Expense Analysis Through Frequency and Severity Bootstrapping and Regression Model
Fangjun Li, Gao Niu. © 2022. 31 pages.
For the purpose of control health expenditures, there are some papers investigating the characteristics of patients who may incur high expenditures. However fewer papers are...
Automobile Fatal Accident and Insurance Claim Analysis Through Artificial Neural Network
Automobile Fatal Accident and Insurance Claim Analysis Through Artificial Neural Network
Xiangming Liu, Gao Niu. © 2022. 30 pages.
This chapter presents a thorough descriptive analysis of automobile fatal accident and insurance claims data. Major components of the artificial neural network (ANN) are...
A Survey of Open Source Statistical Software (OSSS) and Their Data Processing Functionalities
A Survey of Open Source Statistical Software (OSSS) and Their Data Processing Functionalities
Gao Niu, Richard S. Segall, Zichen Zhao, Zhijian Wu. © 2021. 20 pages.
This paper discusses the definitions of open source software, free software and freeware, and the concept of big data. The authors then introduce R and Python as the two most...
Overview of Big Data-Intensive Storage and its Technologies for Cloud and Fog Computing
Overview of Big Data-Intensive Storage and its Technologies for Cloud and Fog Computing
Richard S. Segall, Jeffrey S Cook, Gao Niu. © 2021. 42 pages.
Computing systems are becoming increasingly data-intensive because of the explosion of data and the needs for processing the data, and subsequently storage management is critical...
Introduction to the Popular Open Source Statistical Software (OSSS)
Introduction to the Popular Open Source Statistical Software (OSSS)
Zhijian Wu, Zichen Zhao, Gao Niu. © 2021. 35 pages.
This chapter first introduces the two most popular Open Source Statistical Software (OSSS), R and Python, along with their Integrated Development Environment (IDE) and Graphical...
Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities
Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities
Richard S. Segall, Gao Niu. © 2020. 237 pages.
With the development of computing technologies in today’s modernized world, software packages have become easily accessible. Open source software, specifically, is a popular...
Introduction to the Popular Open Source Statistical Software (OSSS)
Introduction to the Popular Open Source Statistical Software (OSSS)
Zhijian Wu, Zichen Zhao, Gao Niu. © 2020. 38 pages.
This chapter first introduces the two most popular Open Source Statistical Software (OSSS), R and Python, along with their Integrated Development Environment (IDE) and Graphical...
Generalized Linear Model for Automobile Fatality Rate Prediction in R
Generalized Linear Model for Automobile Fatality Rate Prediction in R
Gao Niu, Alan Olinsky. © 2020. 25 pages.
This chapter demonstrates the descriptive and statistical modeling function in R. The automobile fatal accident data of the United States is extracted from the Fatality Analysis...
Big Data and Its Visualization With Fog Computing
Big Data and Its Visualization With Fog Computing
Richard S. Segall, Gao Niu. © 2020. 37 pages.
Big Data is data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. This article discusses what is...
Overview of Big Data-Intensive Storage and its Technologies for Cloud and Fog Computing
Overview of Big Data-Intensive Storage and its Technologies for Cloud and Fog Computing
Richard S. Segall, Jeffrey S Cook, Gao Niu. © 2019. 40 pages.
Computing systems are becoming increasingly data-intensive because of the explosion of data and the needs for processing the data, and subsequently storage management is critical...
Overview of Big Data and Its Visualization
Overview of Big Data and Its Visualization
Richard S. Segall, Gao Niu. © 2018. 32 pages.
Big Data is data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. This chapter discusses what Big...
Big Data and Its Visualization With Fog Computing
Big Data and Its Visualization With Fog Computing
Richard S. Segall, Gao Niu. © 2018. 32 pages.
Big Data is data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. This article discusses what is...