Statistical Inference For Stochastic Processes

英文简介Statistical Inference For Stochastic Processes期刊介绍

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

期刊简介Statistical Inference For Stochastic Processes期刊介绍

《Statistical Inference For Stochastic Processes》该刊近一年未被列入预警期刊名单，目前已被权威数据库SCIE收录，得到了广泛的认可。

该期刊投稿重要关注点：

• SCIE
• 非预警