Statistical Inference for Stochastic Processes

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发文量 672

被引量 3,940

影响因子(2025版) 0.508

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.

主办单位： SPRINGER
出版地区： DORDRECHT
出版周期：年3期
别名： STAT INFER STOCH PRO;Stat. Infer. Stoch. Proc.;随机过程的统计推断;STATISTICAL INFERENCE FOR STOCHASTIC PROCESSES

国际标准连续出版物号/电子版： ISSN 1387-0874 / EISSN 1572-9311
创刊时间： 1998年

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新发布(2025版)

分析评价

vol.28 (2025)
vol.28 (2025)

3 2 1
vol.27 (2024)
vol.27 (2024)
vol.26 (2023)
vol.26 (2023)
vol.25 (2022)
vol.25 (2022)
vol.24 (2021)
vol.24 (2021)
vol.23 (2020)
vol.23 (2020)
vol.22 (2019)
vol.22 (2019)
vol.21 (2018)
vol.21 (2018)
vol.20 (2017)
vol.20 (2017)

封面

2025年3期

共：11篇