Exact rate of convergence in Strassen's law of the interated logarithm

1992 ◽  
Vol 5 (1) ◽  
pp. 197-204 ◽  
Author(s):  
Karl Grill
2000 ◽  
Vol 62 (3) ◽  
pp. 357-368 ◽  
Author(s):  
Michael Revers

A well-known result due to S.N. Bernstein is that sequence of Lagrange interpolation polynomials for |x| at equally spaced nodes in [−1, 1] diverges everywhere, except at zero and the end-points. In this paper we present a quantitative version concerning the divergence behaviour of the Lagrange interpolants for |x|3 at equidistant nodes. Furthermore, we present the exact rate of convergence for the interpolatory parabolas at the point zero.


2015 ◽  
Vol 159 (3) ◽  
pp. 387-403
Author(s):  
L. OLSEN

AbstractWe study the Hausdorff dimensions of certain sets of non-normal numbers defined in terms of the exact rate of convergence of digits in theirN-adic expansions. As an application of our results we analyse the rate of convergence of local dimensions of multinomial measures.


1994 ◽  
Vol 31 (2) ◽  
pp. 549-553 ◽  
Author(s):  
Boris L. Granovsky ◽  
Liat Rozov

We provide the explicit expression for the mean coverage function of a generalized voter model on a regular lattice and establish a characterization of the class of the above processes. As a result, we derive the exact rate of convergence of the considered processes to the steady state. We also prove the existence of different processes with the same mean coverage function on a given lattice.


1997 ◽  
Vol 14 (2) ◽  
pp. 259-272 ◽  
Author(s):  
F. Cala Rodriguez ◽  
G. López Lagomasino

Mathematics ◽  
2021 ◽  
Vol 9 (18) ◽  
pp. 2223
Author(s):  
Yoon-Tae Kim ◽  
Hyun-Suk Park

This paper is concerned with the rate of convergence of the distribution of the sequence {Fn/Gn}, where Fn and Gn are each functionals of infinite-dimensional Gaussian fields. This form very frequently appears in the estimation problem of parameters occurring in Stochastic Differential Equations (SDEs) and Stochastic Partial Differential Equations (SPDEs). We develop a new technique to compute the exact rate of convergence on the Kolmogorov distance for the normal approximation of Fn/Gn. As a tool for our work, an Edgeworth expansion for the distribution of Fn/Gn, with an explicitly expressed remainder, will be developed, and this remainder term will be controlled to obtain an optimal bound. As an application, we provide an optimal Berry–Esseen bound of the Maximum Likelihood Estimator (MLE) of an unknown parameter appearing in SDEs and SPDEs.


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