1 citations · 2 across the 4 of their papers we have counts for
5 papers
A Classification of Observation-Driven State-Space Count Models for Panel Data
Jae Youn Ahn, Himchan Jeong, Yang Lu +1
State-space models are widely used in many applications. In the domain of count data, one such example is the model proposed by Harvey and Fernandes (1989). Unlike many of its para…
A simple Bayesian state-space model for the collective risk model
Jae Youn Ahn, Himchan Jeong, Yang Lu
The collective risk model (CRM) for frequency and severity is an important tool for retail insurance ratemaking, macro-level catastrophic risk forecasting, as well as operational r…
On the ordering of credibility factors
Jae Youn Ahn, Himchan Jeong, Yang Lu
Traditional credibility analysis of risks in insurance is based on the random effects model, where the heterogeneity across the policyholders is assumed to be time-invariant. One p…
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…
A non-convex regularization approach for stable estimation of loss development factors
Himchan Jeong, Hyunwoong Chang, Emiliano A. Valdez
In this article, we apply non-convex regularization methods in order to obtain stable estimation of loss development factors in insurance claims reserving. Among the non-convex reg…