Dr. Ahn Jae Youn, received his Ph.D. in Statistics(Concentration on Actuarial Science) from the University of Iowa. As an assistant professor in the department of statistics at Ewha Womans University, he is teaching actuarial science and statistics. He has published research papers in leading actuarial science journals, such as North American Actuarial Journal and Insurance: Mathematics and Economics. His current research interests are on Statistical Estimation of Risk Measure and Extreme Dependence Structures.
Predictive risk analysis using a collective risk model: Choosing between past frequency and aggregate severity informationInsurance: Mathematics and Economics, 2021, v.96, 127-139
The Poisson random effect model for experience ratemaking: Limitations and alternative solutionsInsurance: Mathematics and Economics, 2020, v.91, 26-36
Investigating dependence between frequency and severity via simple generalized linear modelsJOURNAL OF THE KOREAN STATISTICAL SOCIETY, 2019, v.48 no.1, 13-28
A case study for intercontinental comparison of herd behavior in global stock marketsCommunications for Statistical Applications and Methods, 2018, v.25 no.2, 185-197
A case study for intercontinental comparison of herd behavior in global stock marketsCOMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS, 2018, v.25 no.2, 185~197
Extreme value theory in mixture distributions and a statistical method to control the possible biasJournal of the Korean Statistical Society, 2016, v.45 no.4, 581
Extreme value theory in mixture distributions and a statistical method to control the possible biasJournal of the Korean Statistical Society, 2016, 14 May 2016
On high-dimensional two sample mean testing statistics: a comparative study with a data adaptive choice of coefficient vectorComputational Statistics, 2015, 18 Jul 2015
[학술지논문] DR-LSTM: Dimension reduction based deep learning approach to predict stock price
Communications for Statistical Applications and Methods, 2024, v.31
no.2
, 213-234
Scopus
[학술지논문] Stochastic monotone wing property: A new dependence structure for copulas
FUZZY SETS AND SYSTEMS, 2024, v.484
no.0
, 108932-108932
SCIE
[학술지논문] A simple Bayesian state-space model for the collective risk model
SCANDINAVIAN ACTUARIAL JOURNAL, 2022, v.0
no.0
, 1-21
SSCI
[학술지논문] Designing a Bonus-Malus system reflecting the claim size under the dependent frequency-severity model
PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES, 2022, v.36
no.4
, 963-987
SCIE
[학술지논문] A copula transformation in multivariate mixed discrete-continuous models
FUZZY SETS AND SYSTEMS, 2021, v.415
no.0
, 54-75
SCI
[학술지논문] A multi-year microlevel collective risk model
INSURANCE MATHEMATICS & ECONOMICS, 2021, v.100
no.0
, 309-328
SSCI
[학술지논문] Generalized Linear Mixed Models for Dependent Compound Risk Models
Variance, 2021, v.14
no.1
, 00-00
[학술지논문] On the ordering of credibility factors
INSURANCE MATHEMATICS & ECONOMICS, 2021, v.101
no.0
, 626-638
SSCI
[학술지논문] Bonus-Malus premiums under the dependent frequency-severity modeling
SCANDINAVIAN ACTUARIAL JOURNAL, 2020, v.2020
no.3
, 172-195
SSCI
[학술지논문] Double-counting problem of the bonus-malus system
INSURANCE MATHEMATICS & ECONOMICS, 2020, v.93
no.0
, 141-155
SSCI
[학술지논문] On Minimal Copulas under the Concordance Order
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 2020, v.184
no.3
, 762-780
SCI
[학술지논문] On structural properties of an asymmetric copula family and its statistical implication
FUZZY SETS AND SYSTEMS, 2020, v.393
no.0
, 126-142
SCI
[학술지논문] The Poisson random effect model for experience ratemaking: Limitations and alternative solutions
INSURANCE MATHEMATICS & ECONOMICS, 2020, v.91
no.0
, 26-36
SSCI
[학술발표] Neural CredibilityVirtual 24th International congress on insurance: mathematics and economics, 미국, Zoom, 2021-07-07
Virtual 24th International congress on insurance: mathematics and economics, 2021
[학술발표] A review of copula methods for insurance통계학회 2019년 춘계학술대회, 대한민국, 강릉, 2019-05-25
통계학회 2019년 춘계학술대회, 2019
[학술발표] Copula Transformation Method for a Multivariate Mixed Discrete and Continuous Distribution23rd International Congress on Insurance: Mathematics and Economics (IME) in Munich , 독일, 뮌헨, 2019-07-10
23rd International Congress on Insurance: Mathematics and Economics (IME) in Munich , 2019
[학술발표] Copula-based Collective Risk Models and Possible Bias IssuesSixth Workshop on “Recent Developments in Dependence Modelling with Applications in Finance and In, 그리스, 아테네, 2019-09-16
Sixth Workshop on “Recent Developments in Dependence Modelling with Applications in Finance and Insurance”, 2019
[학술발표] On copula-based collective risk modelsVine Copulas and their Applications, 독일, 뮌헨, 2019-07-08
Vine Copulas and their Applications, 2019