Results 51 to 60 of about 33,300,374 (339)
Nonparametric Regression Based on Discretely Sampled Curves
Revstat Statistical Journal, 2020 In the context of nonparametric regression, we study conditions under which the consistency (and rates of convergence) of estimators built from discretely sampled curves can be derived from the consistency of estimators based on the unobserved whole ...
Liliana Forzani +2 more
doaj +1 more source
Nonparametric Hierarchical Clustering of Functional Data
, 2014 In this paper, we deal with the problem of curves clustering. We propose a nonparametric method which partitions the curves into clusters and discretizes the dimensions of the curve points into intervals.
C. Abraham +11 more
core +3 more sources
Functional Data Analysis of Dynamic PET Data [PDF]
Journal of the American Statistical Association, 2018 One application of positron emission tomography (PET), a nuclear imaging technique, in neuroscience involves in vivo estimation of the density of various proteins (often, neuroreceptors) in the brain. PET scanning begins with the injection of a radiolabeled tracer that binds preferentially to the target protein; tracer molecules are then continuously ...
Yakuan Chen +2 more
openaire +2 more sources
Promet (Zagreb), 2022 In traffic monitoring data analysis, the magnitude of traffic density plays an important role in determining the level of traffic congestion. This study proposes a data imputation method for spatio-functional principal component analysis (s-FPCA) and ...
Bing Tang, Yao Hu, Huan Chen
doaj +1 more source
From data to function: Functional modeling of poultry genomics data
Poultry Science, 2013 One of the challenges of functional genomics is to create a better understanding of the biological system being studied so that the data produced are leveraged to provide gains for agriculture, human health, and the environment. Functional modeling enables researchers to make sense of these data as it reframes a long list of genes or gene products ...
F M, McCarthy, E, Lyons
openaire +2 more sources
Model‐based clustering and classification of functional data [PDF]
WIREs Data Mining Knowl. Discov., 2018 Complex data analysis is a central topic of modern statistics and learning systems which is becoming of broader interest with the increasing prevalence of high‐dimensional data.
Faicel Chamroukhi, H. Nguyen
semanticscholar +1 more source
Nonparametric expectile shortfall regression for functional data
Demonstratio MathematicaThis work addresses the issue of financial risk analysis by introducing a novel expected shortfall (ES) regression model, which employs expectile regression to define the shortfall threshold in financial risk management.
Almanjahie Ibrahim M. +4 more
doaj +1 more source
Local linear estimation for the censored functional regression
AIMS MathematicsThis work considers the Local Linear Estimation (LLE) of the conditional functional mean. This regression model is used when the independent variable is functional, and the dependent one is a censored scalar variable.
Fatimah A Almulhim +3 more
doaj +1 more source
An Overview of Kriging and Cokriging Predictors for Functional Random Fields
Mathematics, 2023 This article presents an overview of methodologies for spatial prediction of functional data, focusing on both stationary and non-stationary conditions.
Ramón Giraldo +2 more
doaj +1 more source
Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li +6 more
wiley +1 more source