Statistical Inference For Stochastic Processes

Journal Title：Statistical Inference For Stochastic Processes

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

《随机过程的统计推断》旨在发表关于离散或连续时间随机过程的推理的高质量论文。这包括诸如 Arma 过程、Garch 过程和其他时间序列模型以及扩散类型过程、点过程、随机场和马尔可夫过程等主题。与空间模型和经验过程相关的论文也属于该期刊的范围。特别关注方法论的进步和合理的理论结果，但非常鼓励提交能够揭示所开发理论在金融、保险、经济学、生物学、物理学和工程学方面的潜在应用的论文。

正式引用为：统计推断随机过程

Statistical Inference For Stochastic Processes由Springer Nature出版商出版，收稿方向涵盖STATISTICS & PROBABILITY全领域，平均审稿速度 ，影响因子指数0.7，该期刊近期没有被列入国际期刊预警名单，广大学者值得一试。