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J. Ahn

13 papers hereh-index 11311 citations43 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author5
  • middle author2
  • last author4

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • stat.AP9
  • math.ST2
  • q-fin.RM1
  • stat.ME1
same name
  • J. Ahn — 41 papers, h 22
  • J. Ahn — 27 papers, h 12
  • J. Ahn — 11 papers, h 18
  • J. Ahn — 5 papers, h 15
  • J. Ahn — 4 papers, h 7
  • J. Ahn — 3 papers, h 19

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152021
most citedImplementation of Frequency-Severity Association in BMS Ratemaking

2 citations · 5 across the 7 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.