activity
20152020
most citedOn Copula-based Collective Risk Models

2 citations · 4 across the 5 of their papers we have counts for

collaborators

9 papers

stat.ME2020

A copula transformation in multivariate mixed discrete-continuous models

Jae Youn Ahn, Sebastian Fuchs, Rosy Oh

Copulas allow a flexible and simultaneous modeling of complicated dependence structures together with various marginal distributions. Especially if the density function can be repr…

stat.AP2020

On a Multi-Year Microlevel Collective Risk Model

Rosy Oh, Himchan Jeong, Jae Youn Ahn +1

For a typical insurance portfolio, the claims process for a short period, typically one year, is characterized by observing frequency of claims together with the associated claims…

stat.AP2020

Designing a Bonus-Malus system reflecting the claim size under the dependent frequency-severity model

Rosy Oh, Joseph H. T. Kim, Jae Youn Ahn

In auto insurance, a Bonus-Malus System (BMS) is commonly used as a posteriori risk classification mechanism to set the premium for the next contract period based on a policyholder…

stat.AP2020

Predictive Risk Analysis in Collective Risk Model: Choices between Historical Frequency and Aggregate Severity

Rosy Oh, Youngju Lee, Dan Zhu +1

Typical risk classification procedure in insurance is consists of a priori risk classification determined by observable risk characteristics, and a posteriori risk classification w…

stat.AP2019

Double-Counting Problem of the Bonus-Malus System

Rosy Oh, Kyung Suk Lee, Sojung C. Park +1

The bonus-malus system (BMS) is a widely used premium adjustment mechanism based on policyholder's claim history. Most auto insurance BMSs assume that policyholders in the same bon…

stat.AP20192 cited

On Copula-based Collective Risk Models

Rosy Oh, Jae Youn Ahn, Woojoo Lee

Several collective risk models have recently been proposed by relaxing the widely used but controversial assumption of independence between claim frequency and severity. Approaches…