Statistical Inference for Stochastic Processes

期刊简介：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

【译文】统计随机过程推断旨在发表高质量论文，致力于离散或连续时间随机过程的推断。这包括如ARMA过程、GARCH过程以及其他时间序列模型，以及扩散型过程、点过程、随机场和马尔可夫过程等主题。与空间模型和经验过程相关的论文也属于该期刊的范畴。特别关注方法论进展和坚实的理论结果，但鼓励提交将发展理论应用于金融、保险、经济学、生物学、物理学和工程等领域的潜在应用的论文。