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mean ; soft thresholding ; minimax regret decision theory ; non linear estirnation ; nonparametric regression ; orthogonal …
Persistent link: https://www.econbiz.de/10009627280
We derive an asymptotic theory of nonparametric estimation for an nonlinear transfer function model Z(t) = f (Xt) + Wt …
Persistent link: https://www.econbiz.de/10009583888
Persistent link: https://www.econbiz.de/10009611560
This paper studies the smooth transition regression model where regressors are I(1) and errors are I(0). The regressors and errors are assumed to be dependent both serially and contemporaneously. Using the triangular array asymptotics, the nonlinear least squares estimator is shown to be...
Persistent link: https://www.econbiz.de/10009612025
Persistent link: https://www.econbiz.de/10001916784
Kernel smoothing in nonparametric autoregressive schemes offers a powerful tool in modelling time series. In this paper it is shown that the bootstrap can be used for estimating the distribution of kernel smoothers. This can be done by mimicking the stochastic nature of the whole process in the...
Persistent link: https://www.econbiz.de/10009632604
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 …
Persistent link: https://www.econbiz.de/10009616786
Credit risk refers to the risk of incurring losses due to unexpected changes in the credit quality of a counterparty or …. We consider individual as well as correlated credit risks. -- compensator ; intensity ; credit risk ; default risk …
Persistent link: https://www.econbiz.de/10009625799