Kolmogorov Entropy for Convergence Rate in Incomplete Functional Time Series: Application to Percentile and Cumulative Estimation in High Dimensional Data

Kolmogorov Entropy for Convergence Rate in Incomplete Functional Time Series: Application to Percentile and Cumulative Estimation in High Dimensional Data

The convergence rate for free-distribution functional data analyses is challenging. It requires some advanced pure mathematics functional analysis tools. This paper aims to bring several contributions to the existing functional data analysis literature. First, we prove in this work that Kolmogorov e...

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Bibliographic Details
Main Authors: Ouahiba Litimein, Fatimah Alshahrani, Salim Bouzebda, Ali Laksaci, Boubaker Mechab
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Entropy
Subjects:
functional data
missing data
small ball probability
local linear modeling
Kolmogorov entropy
almost complete (a.co.) convergence
Online Access:https://www.mdpi.com/1099-4300/25/7/1108

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