英文簡介Statistical Inference For Stochastic Processes期刊介紹

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

期刊簡介Statistical Inference For Stochastic Processes期刊介紹

《Statistical Inference For Stochastic Processes》該刊近一年未被列入預警期刊名單，目前已被權威數據庫SCIE收錄，得到了廣泛的認可。

該期刊投稿重要關注點：

• 預計審稿時間：
• SCIE
• 非預警