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Theory in time series analysis is often developed in the context of finite-dimensional models for the data generating …
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Additive modelling has been widely used in nonparametric regression to circumvent the "curse of dimensionality", by reducing the problem of estimating a multivariate regression function to the estimation of its univariate components. Estimation of these univariate functions, however, can suffer...
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Additive modelling is known to be useful for multivariate nonparametric regression as it reduces the complexity of problem to the level of univariate regression. This usefulness could be compromised if the data set was contaminated by outliers whose detection and removal are particularly...
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Updating behavior in cascade experiments is usually investigated on the basis of urn prediction. But urn predictions alone can only provide a very rough information on individual updating behavior. Therefore, we implement a BDM mechanism. Subjects have to submit maximum prices that they are...
Persistent link: https://www.econbiz.de/10009613603
incomplete market in discrete time. Under the assumptions of a bounded mean-variance tradeoff, substantial risk and a … nondegeneracy condition on the conditional variances of asset returns, we prove the existence of a locally risk-minimizing strategy … under the inclusion of transaction costs: The preceding strategy which is locally risk-minimizing inclusive of transaction …
Persistent link: https://www.econbiz.de/10009576212
We determine the increase of the maximum risk over the minimax risk in the case that the optimally robust estimator for … the relative risk is minimized in the case that the radius is known only to belong to some interval [pr, l'/p] " The … effect of increasing parameter dimension is studied for these models. The minimax increase of relative risk in ease p = 0 …
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