Statistical Inference for Stochastic Processes

Statistical Inference for Stochastic Processes
影响因子:
0.7
ISSN:
print: 1387-0874
on-line: 1572-9311
研究领域:
STATISTICS & PROBABILITY
自引率:
12.50%
Gold OA文章占比:
23.38%
原创研究文献占比:
100.00%
SCI收录类型:
Emerging Sources Citation Index (ESCI) || Scopus (CiteScore)
期刊介绍英文:
Statistical Inference for Stochastic Processes aims to publish high quality papers devoted to inference in either discrete or continuous time stochastic processes. This includes topics such as ARMA processes, GARCH processes and other time series models, as well as diffusion type processes, point processes, random fields and Markov processes. Papers related to spatial models and empirical processes are also within the scope of the journal. Special focus is placed on methodological advances and sound theoretical results, but submissions that expose potential applications of the developed theory to finance, insurance, economics, biology, physics and engineering are very much encouraged. Officially cited as: Stat Inference Stoch Process
CiteScore:
CiteScoreSJRSNIPCiteScore排名
1.30.3631.065
学科
排名
百分位
大类:Mathematics
小类:Statistics and Probability
194 / 278
30%
发文信息
WOS期刊分区
学科分类
Q3STATISTICS & PROBABILITY
历年影响因子
2022年0.8000
2023年0.7000
历年发表
2012年10
2013年16
2014年24
2015年18
2016年23
2017年15
2018年29
2019年13
2020年25
2021年34
2022年19
投稿信息
出版周期:
3 issues per year
出版国家(地区):
Netherlands
初审时长:
16 days
出版商:
Springer Nature

Statistical Inference for Stochastic Processes - 最新文献

Weak convergence of the conditional U-statistics for locally stationary functional time series

Pub Date : 2023-12-18 DOI: 10.1007/s11203-023-09305-y Inass Soukarieh, S. Bouzebda

Nonparametric estimation for random effects models driven by fractional Brownian motion using Hermite polynomials

Pub Date : 2023-12-02 DOI: 10.1007/s11203-023-09302-1 Hamid El Maroufy, Souad Ichi, Mohamed El Omari, Yousri Slaoui
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