Stochastic Processes. A Critical Synthesis

The subject of Stochastic Processes is highly specialized and here only we present an assessment of the subject. To explain uncertainty dynamics a model is required which consistsof a system et stochastic differential equation. We provide a critical synthesis of the literature and analyze the geome...

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Detalles Bibliográficos
Autores principales: Jorge Ludlow Wiechers, Felicity Williams, Beatríz Mota Aragón, Felipe Peredo y Rodríguez
Formato: Artículo científico
Publicado: Universidad Autónoma Metropolitana Unidad Azcapotzalco 2008
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Acceso en línea:http://www.redalyc.org/articulo.oa?id=41311449005
http://biblioteca.clacso.edu.ar/gsdl/cgi-bin/library.cgi?a=d&c=mx/mx-022&d=41311449005oai
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Sumario:The subject of Stochastic Processes is highly specialized and here only we present an assessment of the subject. To explain uncertainty dynamics a model is required which consistsof a system et stochastic differential equation. We provide a critical synthesis of the literature and analyze the geometric behavior of a basket of useful models, stopping at computer simulation and borrowing ideas taken from the Monte Carlo method.