Uniform convergence rate of kernel estimation with mixed categorical and continuous data

2005 ◽  
Vol 86 (2) ◽  
pp. 291-296 ◽  
Author(s):  
Qi Li ◽  
Desheng Ouyang
2010 ◽  
Vol 47 (3) ◽  
pp. 668-679 ◽  
Author(s):  
Zuoxiang Peng ◽  
Saralees Nadarajah ◽  
Fuming Lin

Let {Xn, n ≥ 1} be an independent, identically distributed random sequence with each Xn having the general error distribution. In this paper we derive the exact uniform convergence rate of the distribution of the maximum to its extreme value limit.


2017 ◽  
Vol 101 (115) ◽  
pp. 169-182
Author(s):  
V.M. Kurbanov ◽  
E.B. Akhundova

We study an ordinary differential operator of third order and absolute and uniform convergence of spectral expansion of the function from the class W1p(G), G = (0,1), p > 1, in eigenfunctions of the operator. Uniform convergence rate of this expansion is estimated.


2020 ◽  
pp. 1-26
Author(s):  
SILVIUS KLEIN ◽  
XIAO-CHUAN LIU ◽  
ALINE MELO

Abstract We obtain estimates on the uniform convergence rate of the Birkhoff average of a continuous observable over torus translations and affine skew product toral transformations. The convergence rate depends explicitly on the modulus of continuity of the observable and on the arithmetic properties of the frequency defining the transformation. Furthermore, we show that for the one-dimensional torus translation, these estimates are nearly optimal.


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