Nonparametric multiple-output center-outward quantile regression
Building on recent measure-transportation-based concepts of multivariate quantiles, we are
considering the problem of nonparametric multiple-output quantile regression. Our approach …
considering the problem of nonparametric multiple-output quantile regression. Our approach …
The k-nearest neighbors method in single index regression model for functional quasi-associated time series data
S Bouzebda, A Laksaci, M Mohammedi - Revista Matemática …, 2023 - Springer
In the present paper, we consider the k-Nearest Neighbors (k-NN) method in the single
index regression model in the case of a functional predictor and a scalar response. The …
index regression model in the case of a functional predictor and a scalar response. The …
Marginal M-quantile regression for multivariate dependent data
An M-quantile regression model is developed for the analysis of multiple dependent
outcomes by introducing the notion of directional M-quantiles for multivariate responses. In …
outcomes by introducing the notion of directional M-quantiles for multivariate responses. In …
A multivariate model to estimate environmental load on an offshore structure
Offshore structures such as oil platforms are subjected to significant environmental loads
caused by wind, waves, and current. The complexity of offshore environment requires robust …
caused by wind, waves, and current. The complexity of offshore environment requires robust …
Estimating the Conditional Density in Scalar-On-Function Regression Structure: k-NN Local Linear Approach
In this study, the problem of conditional density estimation of a scalar response variable,
given a functional covariable, is considered. A new estimator is proposed by combining the k …
given a functional covariable, is considered. A new estimator is proposed by combining the k …
[HTML][HTML] 2SpamH: A Two-Stage Pre-Processing Algorithm for Passively Sensed mHealth Data
Recent advancements in mobile health (mHealth) technology and the ubiquity of wearable
devices and smartphones have expanded a market for digital health and have emerged as …
devices and smartphones have expanded a market for digital health and have emerged as …
Dependence modelling of marine environmental variables and resilience assessment of offshore structures operating in harsh environments
AR Ramadhani - 2023 - research.library.mun.ca
With increasing global energy demand, energy-related offshore activities continue to
increase. As part of this expansion, exploration and operations in harsh ocean environments …
increase. As part of this expansion, exploration and operations in harsh ocean environments …
[PDF][PDF] Estimating the Conditional Density in Scalar-On-Function Regression Structure: k-NN Local Linear Approach. Mathematics 2022, 10, 902
In this study, the problem of conditional density estimation of a scalar response variable,
given a functional covariable, is considered. A new estimator is proposed by combining the k …
given a functional covariable, is considered. A new estimator is proposed by combining the k …