Aims and Scope: Statistical Inference for Stochastic Processes
Statistical Inference for Stochastic Processes is devoted to the following topics:
Parametric, semiparametric and nonparametric inference in discrete and continuous time stochastic processes (especially: ARMA type processes, diffusion type processes, point processes, random fields, Markov processes).
Analysis of time series. Spatial Models. Empirical Processes.
Applications to finances, insurances, economics, biology, physics and engineering.
Officially cited as: Stat Inference Stoch Process