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We introduce a kernel-based estimator of the density function and regression function for data that have been grouped …
Persistent link: https://www.econbiz.de/10010928627
kernel estimators when the error distribution is not normal. We investigate the finite sample performance of our procedure on …
Persistent link: https://www.econbiz.de/10010745013
We propose new procedures for estimating the univariate quantities of interest in both additive and multiplicative nonparametric marker dependent hazard models. We work with a full counting process framework that allows for left truncation and right censoring. Our procedures are based on kernels...
Persistent link: https://www.econbiz.de/10010745292
We examine the relationship between the risk premium on the S&P500 index total return and its conditional variance. We propose a new semiparametric model in which the conditional variance process is parametric, while the conditional mean is an arbitrary function of the conditional variance. For...
Persistent link: https://www.econbiz.de/10010745701