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

《隨機過程的統(tǒng)計推斷》旨在發(fā)表關于離散或連續(xù)時間隨機過程的推理的高質量論文。這包括諸如 Arma 過程、Garch 過程和其他時間序列模型以及擴散類型過程、點過程、隨機場和馬爾可夫過程等主題。與空間模型和經驗過程相關的論文也屬于該期刊的范圍。特別關注方法論的進步和合理的理論結果，但非常鼓勵提交能夠揭示所開發(fā)理論在金融、保險、經濟學、生物學、物理學和工程學方面的潛在應用的論文。

正式引用為：統(tǒng)計推斷隨機過程

Statistical Inference For Stochastic Processes由Springer Nature出版商出版，收稿方向涵蓋STATISTICS & PROBABILITY全領域，平均審稿速度 ，影響因子指數(shù)0.7，該期刊近期沒有被列入國際期刊預警名單，廣大學者值得一試。