Pre-print; version dated May 1999This paper gives new conditions for the functional central limit theorem, and weak convergence of stochastic integrals, for near-epoch-dependent functions of mixing processes. These results have fundamental applications in the theory of unit root testing and cointegrating regressions. The conditions given improve on existing results in the literature in terms of the amount of dependence and heterogeneity permitted, and in particular, these appear to be the first such theorems in which virtually the same assumptions are sufficient for both modes of convergence
In [6], Serfozo introduced a class of stochastic processes which he called semi-stationary processes...
Please see also the following Corrigendum to Section 2.4, Journal of Econometrics 110(1) 103-104The ...
This paper establishes a central limit theorem (CLT) for empirical processes indexed by smooth funct...
SIGLEAvailable from British Library Document Supply Centre-DSC:3597.9175(97-092) / BLDSC - British L...
Limit theory involving stochastic integrals is now widespread in time series econometrics and relies...
This paper shows how the modern machinery for generating abstract empirical central limit theorems c...
This paper shows how the modern machinery for generating abstract empirical central limit theorems c...
AbstractAssuming that {(Un,Vn)} is a sequence of càdlàg processes converging in distribution to (U,V...
This extract is taken from the author's original manuscript and has not been reviewed or edited. Th...
An introductory account of the functional CLT is given which assumes minimal prior knowledge of rigo...
Weak invariance principles for certain continuous time parameter stochastic processes (including mar...
This paper deals with weak convergence of multiple integrals with respect to the empirical process. ...
This paper deals with weak convergence of multiple integrals with respect to the empirical process. ...
We prove a general functional central limit theorem for weak dependent time series. Those probabilis...
Please see also the following Corrigendum to Section 2.4, Journal of Econometrics 110(1) 103-104The ...
In [6], Serfozo introduced a class of stochastic processes which he called semi-stationary processes...
Please see also the following Corrigendum to Section 2.4, Journal of Econometrics 110(1) 103-104The ...
This paper establishes a central limit theorem (CLT) for empirical processes indexed by smooth funct...
SIGLEAvailable from British Library Document Supply Centre-DSC:3597.9175(97-092) / BLDSC - British L...
Limit theory involving stochastic integrals is now widespread in time series econometrics and relies...
This paper shows how the modern machinery for generating abstract empirical central limit theorems c...
This paper shows how the modern machinery for generating abstract empirical central limit theorems c...
AbstractAssuming that {(Un,Vn)} is a sequence of càdlàg processes converging in distribution to (U,V...
This extract is taken from the author's original manuscript and has not been reviewed or edited. Th...
An introductory account of the functional CLT is given which assumes minimal prior knowledge of rigo...
Weak invariance principles for certain continuous time parameter stochastic processes (including mar...
This paper deals with weak convergence of multiple integrals with respect to the empirical process. ...
This paper deals with weak convergence of multiple integrals with respect to the empirical process. ...
We prove a general functional central limit theorem for weak dependent time series. Those probabilis...
Please see also the following Corrigendum to Section 2.4, Journal of Econometrics 110(1) 103-104The ...
In [6], Serfozo introduced a class of stochastic processes which he called semi-stationary processes...
Please see also the following Corrigendum to Section 2.4, Journal of Econometrics 110(1) 103-104The ...
This paper establishes a central limit theorem (CLT) for empirical processes indexed by smooth funct...