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(yōu)秀期刊,中文名稱隨機過程的統(tǒng)計推斷,本刊主要出版、報道領(lǐng)域的研究動態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗和科研成果,介紹該領(lǐng)域有關(guān)本專業(yè)的最新進展,探討行業(yè)發(fā)展的思路和方法,以促進學(xué)術(shù)信息交流,提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄,為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動作用,也得到了本專業(yè)人員的廣泛認可。該刊最新影響因子為0.7,最新CiteScore 指數(shù)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
JCR分區(qū)(2023-2024年最新版)
Statistical Inference For Stochastic Processes雜志 JCR分區(qū)信息