Sunggon Kim

University of Seoul

H-index: 11

Asia-South Korea

About Sunggon Kim

Sunggon Kim, With an exceptional h-index of 11 and a recent h-index of 4 (since 2020), a distinguished researcher at University of Seoul, specializes in the field of applied probability, queueing theory, risk modeling, rare event simulation.

His recent articles reflect a diverse array of research interests and contributions to the field:

An importance sampling for a function of a multivariate random variable

Stratified importance sampling for a Bernoulli mixture model of portfolio credit risk

Importance sampling with splitting for portfolio credit risk

Sunggon Kim Information

University	University of Seoul
Position	Department of Statistics
Citations(all)	443
Citations(since 2020)	61
Cited By	408
hIndex(all)	11
hIndex(since 2020)	4
i10Index(all)	12
i10Index(since 2020)	2
Email	Access Email
University Profile Page	University of Seoul
Google Scholar	View Google Scholar Profile

Sunggon Kim Skills & Research Interests

applied probability

queueing theory

risk modeling

rare event simulation

Top articles of Sunggon Kim

Title	Journal	Author(s)	Publication Date
An importance sampling for a function of a multivariate random variable	Communications for Statistical Applications and Methods	Jae-Yeol Park Hee-Geon Kang Sunggon Kim	2024/1
Stratified importance sampling for a Bernoulli mixture model of portfolio credit risk	Annals of Operations Research	Sunggon Kim Jisu Yu	2023/3
Importance sampling with splitting for portfolio credit risk	Communications for Statistical Applications and Methods	Jinyoung Kim Sunggon Kim	2020