안재윤 교수는 자연과학대학교 통계학과 소속 교수로 미국 아이오아대학에서 통계학 전공(보험계리학)으로 박사학위를 받았으며, 주 연구분야는 보험 및 위험관리이다. 현재 위험관리 측도에 관한 연구, 금융 및 보험에서의 공동화 및 반공동화 현상에 관한 연구를 진행하고 있으며 <NAAJ(North American Actuarial Journal)>, <IME(Insurance Mathematics and Insurance)> 등 해외 저명 보험 학술지에 다수의 논문을 발표하였다.
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.484
, 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