๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A Note on the Convergence of Integral Functionals of Diffusion Processes. An Application to Strong Convergence

โœ Scribed by F. Liese; W. Schmidt


Publisher
John Wiley and Sons
Year
1993
Tongue
English
Weight
268 KB
Volume
161
Category
Article
ISSN
0025-584X

No coin nor oath required. For personal study only.

โœฆ Synopsis


For a diffusion type process dX, = d w + a(t, X) dt and a sequence (f,) of nonnegative functions necessary and sufficient conditions to the f, are established which guarantee the as. convergence of fn(X,) dt to zero. This result is applied to derive simple necessary and sufficient conditions for the strong convergence of distributions of diffusion processes formulated in terms of the corresponding drift functions. T 0 1.


๐Ÿ“œ SIMILAR VOLUMES


Convergence to Normality of the Asymptot
โœ Sifa Mvoi; Yan-Xia Lin ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 180 KB ๐Ÿ‘ 3 views

The asymptotic quasi-likelihood method is considered for the model y t f t q M t ; t 0; 1; . . . ; T where f t q is a linear predictable process of the parameter of interest q, M t is a martingale difference, and the nature of EM 2 t j p tร€1 is unknown. This paper is concerned with the limiting dist

Squarefree Decomposition of Univariate P
โœ Gema M. Diaz-Toca; Laureano Gonzalez-Vega ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 309 KB

In this paper, we describe the application of a new version of Barnett's method to the squarefree decomposition of a univariate polynomial with coefficients in K[x], x being a parameter and K a characteristic zero field. This new version of Barnett's method uses Bezoutian matrices instead of matrice

Attaining exponential convergence for th
โœ Manfred Rudolph ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 213 KB

## Abstract It is a wellโ€known phenomenon called superconvergence in the mathematical literature that the error level of an integral quantity can be much smaller than the magnitude of the local errors involved in the computation of this quantity. When discretizing an integrated form of Fick's secon