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STATISTICAL INFERENCE FOR STOCHASTIC PROCESSES

 
 

Enlace: http://www.springerlink.com/(o54xf045uo5cwpilvxp3ey45)/default.aspx

Descripción: Kluwer Academic Publishers
«Statistical Inference for Stochastic Processes will be 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.»
ISSN 1387-0874