影响因子:
0.6
ISSN:
print: 2300-2298
研究领域:
STATISTICS & PROBABILITY
自引率:
0.00%
Gold OA文章占比:
100.00%
原创研究文献占比:
100.00%
SCI收录类型:
Emerging Sources Citation Index (ESCI) || Scopus (CiteScore) || Directory of Open Access Journals (DOAJ)
期刊介绍英文:
The journal Dependence Modeling aims at providing a medium for exchanging results and ideas in the area of multivariate dependence modeling. It is an open access fully peer-reviewed journal providing the readers with free, instant, and permanent access to all content worldwide. Dependence Modeling is listed by Web of Science (Emerging Sources Citation Index), Scopus, MathSciNet and Zentralblatt Math. The journal presents different types of articles: -"Research Articles" on fundamental theoretical aspects, as well as on significant applications in science, engineering, economics, finance, insurance and other fields. -"Review Articles" which present the existing literature on the specific topic from new perspectives. -"Interview articles" limited to two papers per year, covering interviews with milestone personalities in the field of Dependence Modeling. The journal topics include (but are not limited to):  -Copula methods -Multivariate distributions -Estimation and goodness-of-fit tests -Measures of association -Quantitative risk management -Risk measures and stochastic orders -Time series -Environmental sciences -Computational methods and software -Extreme-value theory -Limit laws -Mass Transportations
CiteScore:
CiteScoreSJRSNIPCiteScore排名
1.00.2390.503
学科
排名
百分位
大类:Mathematics
小类:Applied Mathematics
508 / 635
20%
大类:Mathematics
小类:Statistics and Probability
223 / 278
19%
大类:Mathematics
小类:Modeling and Simulation
278 / 324
14%
发文信息
WOS期刊分区
学科分类
Q4STATISTICS & PROBABILITY
历年影响因子
2022年0.7000
2023年0.6000
历年发表
2012年0
2013年5
2014年6
2015年19
2016年22
2017年22
2018年22
2019年22
2020年23
2021年22
2022年18
投稿信息
出版语言:
English
出版国家(地区):
Poland
审稿时长:
12 weeks
出版商:
De Gruyter

Dependence Modeling - 最新文献

Characterization of pre-idempotent Copulas

Pub Date : 2023-01-01 DOI: 10.1515/demo-2023-0106 Wongtawan Chamnan, Songkiat Sumetkijakan

When copulas and smoothing met: An interview with Irène Gijbels

Pub Date : 2023-01-01 DOI: 10.1515/demo-2022-0154 C. Genest, M. Scherer

Joint lifetime modeling with matrix distributions

Pub Date : 2023-01-01 DOI: 10.1515/demo-2022-0153 H. Albrecher, Martin Bladt, Alaric J. A. Müller
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