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Conditional dependence is expressed as a projection map in the trivariate copula space. The projected copula, its … sample counterpart and the related process are defined. The weak convergence of the projected copula process to a tight … centered Gaussian Process is obtained under weak assumptions on copula derivatives. …
Persistent link: https://www.econbiz.de/10011026052
We propose a sampling approach to bandwidth estimation for a nonparametric regression model with continuous and discrete types of regressors and unknown error density. The unknown error density is approximated by a location-mixture of Gaussian densities with means being the individual errors,...
Persistent link: https://www.econbiz.de/10010860408
This paper aims to investigate a Bayesian sampling approach to parameter estimation in the GARCH model with an unknown conditional error density, which we approximate by a mixture of Gaussian densities centered at individual errors and scaled by a common standard deviation. This mixture density...
Persistent link: https://www.econbiz.de/10010860418
We propose to approximate the unknown error density of a nonparametric regression model by a mixture of Gaussian densities with means being the individual error realizations and variance a constant parameter. This mixture density has the form of a kernel density estimator of error realizations....
Persistent link: https://www.econbiz.de/10011141016