Showing 1 - 10 of 20
In this paper we study nonparametric estimation and hypothesis testing procedures for the functional coefficient AR (FAR) models of the form Xt = f1(Xt-d)Xt-1 +…+ fp(Xt-d)Xt-p +εt, first proposed by Chen and Tsay (1993). As a direct generalization of the linear AR model, the FAR model is a...
Persistent link: https://www.econbiz.de/10010983743
We study the problem of estimating the coefficients of a diffusion (Xl, t 2:: 0); the estimation is based on discrete data Xn . . n = 0, 1, ... ,N. The sampling frequency delta t is constant , and asymptotics arc taken at the number of observations tends to infinity. We prove that the problem of...
Persistent link: https://www.econbiz.de/10010983786
We consider a two-scaled diffusion system, when drift and diffusion parameters of the 'slow' component are contaminated by the ' fast' unobserved component. The goal is to estimate the dynamic function which is defined by averaging the drift coefficient of the 'slow' component w.r.t. the...
Persistent link: https://www.econbiz.de/10010956607
We prove geometric ergodicity and absolute regularity of the nonparametric autoregressive bootstrap process. To this … sequence. This is achieved by using well-established coupling techniques. Then we apply the result to the bootstrap process and … bootstrap process has the desired properties. Moreover, by using some 'decoupling' argument, we show that the stationary density …
Persistent link: https://www.econbiz.de/10010983513
bootstrap versions of the tests have much better properties in this respect. In other words, the bootstrap can be used to size …
Persistent link: https://www.econbiz.de/10010983524
bootstrap resampling technique. The method is illustrated on S&P 500 index data. …
Persistent link: https://www.econbiz.de/10010983588
use quantities derived from the parameters to disentangle the relationships between the variables. Bootstrap methods are … often used for inference on the derived quantities. Alternative bootstrap methods for this purpose are discussed, some …
Persistent link: https://www.econbiz.de/10010983608
often not provided. If confidence intervals are given they are often based on bootstrap methods with poor theoretical …
Persistent link: https://www.econbiz.de/10010983728
Stuetzle and Mittal (1979) for ordinary nonparametric kernel regression and Kauermann and Tutz (1996) for nonparametric generalized linear model kernel regression constructed estimators with lower order bias than the usual estimators, without the need for devices such as second derivative...
Persistent link: https://www.econbiz.de/10010983807
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 find a more accurate distribution under the null than the normal … we show that the bootstrap is able to capture the negative bias and the skewness of the test statistic. It yields better …
Persistent link: https://www.econbiz.de/10010983857