activity
20192021
most citedMaintaining Discrimination and Fairness in Class Incremental Learning

31 citations · 39 across the 6 of their papers we have counts for

collaborators

6 papers

stat.AP20213 cited

Applications of Clustering with Mixed Type Data in Life Insurance

Shuang Yin, Guojun Gan, Emiliano A. Valdez +1

Death benefits are generally the largest cash flow item that affects financial statements of life insurers where some still do not have a systematic process to track and monitor de…

stat.AP20201 cited

Flexible Modeling of Hurdle Conway-Maxwell-Poisson Distributions with Application to Mining Injuries

Shuang Yin, Dipak K. Dey, Emiliano A. Valdez +1

While the hurdle Poisson regression is a popular class of models for count data with excessive zeros, the link function in the binary component may be unsuitable for highly imbalan…

stat.AP2020

Analysis of Prescription Drug Utilization with Beta Regression Models

Guojun Gan, Emiliano A. Valdez

The healthcare sector in the U.S. is complex and is also a large sector that generates about 20% of the country's gross domestic product. Healthcare analytics has been used by rese…

stat.AP20204 cited

Skewed link regression models for imbalanced binary response with applications to life insurance

Shuang Yin, Dipak K. Dey, Emiliano A. Valdez +2

For a portfolio of life insurance policies observed for a stated period of time, e.g., one year, mortality is typically a rare event. When we examine the outcome of dying or not fr…

stat.AP2020

Hybrid Tree-based Models for Insurance Claims

Zhiyu Quan, Zhiguo Wang, Guojun Gan +1

Two-part models and Tweedie generalized linear models (GLMs) have been used to model loss costs for short-term insurance contract. For most portfolios of insurance claims, there is…

cs.CV201931 cited

Maintaining Discrimination and Fairness in Class Incremental Learning

Bowen Zhao, Xi Xiao, Guojun Gan +2

Deep neural networks (DNNs) have been applied in class incremental learning, which aims to solve common real-world problems of learning new classes continually. One drawback of sta…