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building are parameter estimation and evaluation that are also briefly considered. There are two possibilities of generating …
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This chapter presents a unified set of estimation methods for fitting a rich array of models describing dynamic … chapter is motivated by the principle that, whenever possible, estimation methods should rely on routines available in … sampling inherent in survey longitudinal data, (3) incorporation of predetermined variables in estimation, and (4 …
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We consider a one-period portfolio optimization problem under model uncertainty. For this purpose, we introduce a measure of model risk. We derive analytical results for this measure of model risk in the mean-variance problem assuming we have observations drawn from a normal variance mixture...
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