An introductory account of the functional CLT is given which assumes minimal prior knowledge of rigorous probability theory. Both Billingsley's and Pollard's approaches to convergence of stochastic processes are outlined in some detail, and the discussion is illustrated with numerous examples. Proofs, either full or sketches, are included when this aids understanding. Application of the CLT to unit root problems in time series is illustrated by some results from a recent paper by Phillips
This paper establishes a central limit theorem (CLT) for empirical processes indexed by smooth funct...
Please see also the following Corrigendum to Section 2.4, Journal of Econometrics 110(1) 103-104The ...
Please see also the following Corrigendum to Section 2.4, Journal of Econometrics 110(1) 103-104The ...
The application of different unit root statistics is by now a standard practice in empirical work. E...
Abstract—The central limit theorem is proved within the framework of the functional approach for si...
Pre-print; version dated May 1999This paper gives new conditions for the functional central limit th...
This extract is taken from the author's original manuscript and has not been reviewed or edited. Th...
We discuss the functional central limit theorem (FCLT) for the empirical process of a moving-average...
We discuss the functional central limit theorem (FCLT) for the empirical process of a moving-average...
SIGLEAvailable from British Library Document Supply Centre-DSC:3597.9175(97-092) / BLDSC - British L...
We prove a general functional central limit theorem for weak dependent time series. Those probabilis...
We present almost sure central limit theorems for stochastic processes whose time parameter ranges o...
Weak invariance principles for certain continuous time parameter stochastic processes (including mar...
A model to simulate distributions and show a variety of concepts related to statistics
AbstractWeak invariance principles for certain continuous time parameter stochastic processes (inclu...
This paper establishes a central limit theorem (CLT) for empirical processes indexed by smooth funct...
Please see also the following Corrigendum to Section 2.4, Journal of Econometrics 110(1) 103-104The ...
Please see also the following Corrigendum to Section 2.4, Journal of Econometrics 110(1) 103-104The ...
The application of different unit root statistics is by now a standard practice in empirical work. E...
Abstract—The central limit theorem is proved within the framework of the functional approach for si...
Pre-print; version dated May 1999This paper gives new conditions for the functional central limit th...
This extract is taken from the author's original manuscript and has not been reviewed or edited. Th...
We discuss the functional central limit theorem (FCLT) for the empirical process of a moving-average...
We discuss the functional central limit theorem (FCLT) for the empirical process of a moving-average...
SIGLEAvailable from British Library Document Supply Centre-DSC:3597.9175(97-092) / BLDSC - British L...
We prove a general functional central limit theorem for weak dependent time series. Those probabilis...
We present almost sure central limit theorems for stochastic processes whose time parameter ranges o...
Weak invariance principles for certain continuous time parameter stochastic processes (including mar...
A model to simulate distributions and show a variety of concepts related to statistics
AbstractWeak invariance principles for certain continuous time parameter stochastic processes (inclu...
This paper establishes a central limit theorem (CLT) for empirical processes indexed by smooth funct...
Please see also the following Corrigendum to Section 2.4, Journal of Econometrics 110(1) 103-104The ...
Please see also the following Corrigendum to Section 2.4, Journal of Econometrics 110(1) 103-104The ...