[PDF][PDF] kNN local linear estimation of the conditional density and mode for functional spatial high dimensional data
F Alshahrani, W Bouabsa, IM Almanjahie… - AIMS …, 2023 - researchgate.net
Traditionally, regression problems are examined using univariate characteristics, including
the scale function, marginal density, regression error, and regression function. When the …
the scale function, marginal density, regression error, and regression function. When the …
Covariance estimation error of incomplete functional data under RKHS framework
B Yao, P Li - Applied Mathematics and Computation, 2023 - Elsevier
In recent years, functional data analysis (FDA) and reproducing kernel Hilbert space (RKHS)
are frequently encountered in various applications. However, employing the RKHS …
are frequently encountered in various applications. However, employing the RKHS …
Representation Theorem and Functional CLT for RKHS-Based Function-on-Function Regressions
H Huang, G Mo, H Li, HB Fang - Mathematics, 2022 - mdpi.com
We investigate a nonparametric, varying coefficient regression approach for modeling and
estimating the regression effects caused by two functionally correlated datasets. Due to …
estimating the regression effects caused by two functionally correlated datasets. Due to …
Functional Data Analysis and Its Application in Biomedical Research
H Li - 2023 - search.proquest.com
The objective of the dissertation is to develop new statistical methods for functional data
analysis motivated by several biomedical research. In many applications with functional …
analysis motivated by several biomedical research. In many applications with functional …
(R1483) Local Linear Estimator of the Conditional Hazard Function for Index Model in Case of Missing at Random Data
K Abdelhak, A Belguerna… - Applications and …, 2022 - digitalcommons.pvamu.edu
The estimation of hazard function becomes an important tool in statistics. Also, the single-
index model is an essential method that has much application in a lot of domains but the use …
index model is an essential method that has much application in a lot of domains but the use …
Local Linear Estimator of the Conditional Hazard Function For Index Model in Case of Missing at Random Data.
K Abdelhak, A Belguerna… - Applications & Applied …, 2022 - search.ebscohost.com
The estimation of hazard function becomes an important tool in statistics. Also, the single-
index model is an essential method that has much application in a lot of domains but the use …
index model is an essential method that has much application in a lot of domains but the use …