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When the unobservable Markov chain in a hidden Markov model is stationary the marginal distribution of the observations is a finite mixture with the number of terms equal to the number of the states of the Markov chain. This suggests estimating the number of states of the unobservable Markov...
Persistent link: https://www.econbiz.de/10005149027
Bandwidth plays an important role in determining the performance of local linear estimators. In this paper, we propose … a Bayesian approach to bandwidth selection for local linear estimation of time–varying coefficient time series models … to simultaneously estimate the bandwidths for local linear estimators in the regression function and the bandwidth for …
Persistent link: https://www.econbiz.de/10011141013
A partially linear model is often estimated in a two-stage procedure, which involves estimating the nonlinear component conditional on initially estimated linear coefficients. We propose a sampling procedure that aims to simultaneously estimate the linear coefficients and bandwidths involved in...
Persistent link: https://www.econbiz.de/10011105011
Bandwidth plays an important role in determining the performance of nonparametric estimators, such as the local … constant estimator. In this paper, we propose a Bayesian approach to bandwidth estimation for local constant estimators of time …-varying coefficients in time series models. We establish a large sample theory for the proposed bandwidth estimator and Bayesian estimators …
Persistent link: https://www.econbiz.de/10011188646
We present a local linear estimator with variable bandwidth for multivariate nonparametric regression. We prove its … to obtain practical direct plug-in bandwidth selectors for heteroscedastic regression in one and two dimensions. We show … that the local linear estimator with variable bandwidth has better goodness-of-fit properties than the local linear …
Persistent link: https://www.econbiz.de/10005149087