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La medida de divergencia de Kagan en el muestreo secuencial con procesos de Dirichlet.

Domingo Morales González (1986)

Trabajos de Estadística

In this paper the Kagan divergence measure is extended in order to establish a measure of the information that a random sample gives about a Dirichlet process as a whole. After studying some of its properties, the expression obtained in sampling from the step n to the step n+1 is given, and its Bayesian properties are studied. We finish proving the good behaviour of a stopping rule defined on the basis of the information obtained in sampling when passing from a step to the following.

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