On the testability of the CAR assumption

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چکیده

In recent years a popular non-parametric model for coarsened data is an assumption on the coarsening mechanism called Coarsening At Random (CAR). We will give a short definition here; in the talk we will introduce a more general version. Let Y be the space of the parameter of interest Y . On Y we have a dominating measure Q0. Let C be a space with a dominating measure P0 such that the data contains the coarsening variable C ∈ C and a function of Y and C, so X = (C, φ(C, Y ).

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تاریخ انتشار 2002