Statistical Inference For Stochastic Processes

雜志介紹

Statistical Inference For Stochastic Processes雜志介紹

《Statistical Inference For Stochastic Processes》是一本以English為主的未開放獲取國際優秀期刊，中文名稱隨機過程的統計推斷，本刊主要出版、報道領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為0.7，最新CiteScore 指數為1.3。

英文介紹

Statistical Inference For Stochastic Processes雜志英文介紹

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