中文簡介

《符號學(xué)》(tochastics):國際概率與隨機過程雜志是世界領(lǐng)先的期刊出版研究，關(guān)注隨機過程及其在隨機系統(tǒng)建模、分析和優(yōu)化方面的應(yīng)用，即以時空演化和隨機效應(yīng)存在為特征的過程。發(fā)表的文章涉及隨機系統(tǒng)分析、特征問題、隨機建模和識別、優(yōu)化、濾波和控制的所有方面，以及隨機過程理論的有關(guān)問題。該雜志還征集論文，討論隨機過程理論在工程系統(tǒng)、物理和生命科學(xué)、經(jīng)濟學(xué)和其他領(lǐng)域的重大應(yīng)用。歡迎就前沿領(lǐng)域的特別問題提出建議，并應(yīng)將這些建議提交總編，總編將對此進行審查。近年來，概率論的研究與隨機系統(tǒng)問題之間的相互作用日益增強。隨機學(xué)的目的是鼓勵這一趨勢，一方面促進對最新理論發(fā)展和應(yīng)用中出現(xiàn)的數(shù)學(xué)問題的認識。

　　英文簡介

tochastics: An International Journal of Probability and Stochastic Processes is a world-leading journal publishing research concerned with stochastic processes and their applications in the modelling, analysis and optimization of stochastic systems, i.e. processes characterized both by temporal or spatial evolution and by the presence of random effects.Articles are published dealing with all aspects of stochastic systems analysis, characterization problems, stochastic modelling and identification, optimization, filtering and control and with related questions in the theory of stochastic processes. The journal also solicits papers dealing with significant applications of stochastic process theory to problems in engineering systems, the physical and life sciences, economics and other areas. Proposals for special issues in cutting-edge areas are welcome and should be directed to the Editor-in-Chief who will review accordingly.In recent years there has been a growing interaction between current research in probability theory and problems in stochastic systems. The objective of Stochastics is to encourage this trend, promoting an awareness of the latest theoretical developments on the one hand and of mathematical problems arising in applications on the other.

　　近年期刊自引率趨勢圖

　　JCR分區(qū)

JCR分區(qū)等級	JCR所屬學(xué)科	分區(qū)	影響因子
Q4	STATISTICS & PROBABILITY	Q4	1
	MATHEMATICS, APPLIED	Q4

　　近年期刊影響因子趨勢圖

　　CiteScore數(shù)值

CiteScore	SJR	SNIP	學(xué)科類別	分區(qū)	排名	百分位
1.50	0.498	1.171	大類：Mathematics 小類：Statistics and Probability	Q3	153 / 250	39%
			大類：Mathematics 小類：Modeling and Simulation	Q3	226 / 303	25%

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