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文献信息
Stochastics: 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.
Differential EquationsBrownian MotionExistence and UniquenessFractional Brownian MotionStochastic Differential EquationRandom VariablesEquations DrivenMalliavin CalculusLevy ProcessStochastic ProcessesOrnstein-Uhlenbeck ProcessBackward Stochastic Differential EquationValue FunctionStochastic Functional Differential EquationsDiffusion ProcessExponential StabilityStochastic VolatilityStochastic CalculusComplete Moment ConvergenceUtility Maximization
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