Showing 1 - 10 of 10
Discriminant analysis for two data sets in IRd with probability densities f and g can be based on the estimation of the … optimal rates for estimation of G. -- minimax rates ; discrimination analysis ; Bayes risk …
Persistent link: https://www.econbiz.de/10009574887
We introduce a new method for the estimation of discount functions, yield curves and forward curves from government … although we do show how to impose various restrictions in the estimation. Our method is based on Kernel smoothing and is … our estimation procedure is iterative, rather like the backfitting method of estimating non-parametric models. We …
Persistent link: https://www.econbiz.de/10009580489
an improved bias corrected estimator. This bias corrected estimator involves consistent estimation of the density …
Persistent link: https://www.econbiz.de/10009574880
We prove geometric ergodicity and absolute regularity of the nonparametric autoregressive bootstrap process. To this end, we revisit this problem for nonparametric autoregressive processes and give some quantitative conditions (i.e., with explicit constants) under which the mixing coefficients...
Persistent link: https://www.econbiz.de/10009578012
Y has a Bernoulli distribution with parameter G{XT β + α + m1(T1) + … + md(Td)}. The paper discusses estimation of β and …
Persistent link: https://www.econbiz.de/10009578571
were known with certainty. -- nonparametric regression ; additive models ; multivariate curve estimation ; kernel estimates …
Persistent link: https://www.econbiz.de/10009626678
Persistent link: https://www.econbiz.de/10009630545
used for the estimation of each additive component without taking into account the parametric link of the functions. In a …
Persistent link: https://www.econbiz.de/10009579184
Single index models are frequently used in econometrics and biometrics. Logit and Probit models are special cases with fixed link functions. In this paper we consider a bootstrap specification test that detects nonparametric deviations of the link function. The bootstrap is used with the aim to...
Persistent link: https://www.econbiz.de/10009583431
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