ArticleStatistical modelling2017
Comparison and Contrast of Two General Functional Regression Modeling Frameworks.
Article in Statistical modelling, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed.
- Temporal coupling between papillary muscle strain and left ventricular untwisting during diastole.European heart journal. Imaging methods and practice · 2026Article
- Semiparametric mixture regression for asynchronous longitudinal data using multivariate functional principal component analysis.Biostatistics (Oxford, England) · 2025Article
- Quantile Regression for Longitudinal Functional Data with Application to Feed Intake of Lactating Sows.Journal of agricultural, biological, and environmental statistics · 2025Article
- Heterogeneous Functional Regression for Subgroup Analysis.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2024Article
- Article
- Ultra-Fast Approximate Inference Using Variational Functional Mixed Models.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2023Article
- High-Dimensional Spatial Quantile Function-on-Scalar Regression.Journal of the American Statistical Association · 2022Article
- FUNCTION-ON-FUNCTION REGRESSION FOR THE IDENTIFICATION OF EPIGENETIC REGIONS EXHIBITING WINDOWS OF SUSCEPTIBILITY TO ENVIRONMENTAL EXPOSURES.The annals of applied statistics · 2021Article
- Additive Functional Cox Model.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2021Article
- FUNCTION-ON-SCALAR QUANTILE REGRESSION WITH APPLICATION TO MASS SPECTROMETRY PROTEOMICS DATA.The annals of applied statistics · 2020Article
- Robust probabilistic classification applicable to irregularly sampled functional data.Computational statistics & data analysis · 2019Article
- Bayesian Semiparametric Functional Mixed Models for Serially Correlated Functional Data, with Application to Glaucoma Data.Journal of the American Statistical Association · 2019Article
- Association of cardiovascular events and lipoprotein particle size: Development of a risk score based on functional data analysis.PloS one · 2019Article
- An Update on Statistical Boosting in Biomedicine.Computational and mathematical methods in medicine · 2017Review
- Using real-world accelerometry-derived diurnal patterns of physical activity to evaluate disability in multiple sclerosis.Journal of rehabilitation and assistive technologies engineeringArticle
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
In this article, Greven and Scheipl describe an impressively general framework for performing functional regression that builds upon the generalized additive modeling framework. Over the past number of years, my collaborators and I have also been developing a general framework for functional regression, functional mixed models, which shares many similarities with this framework, but has many differences as well. In this discussion, I compare and contrast these two frameworks, to hopefully illuminate characteristics of each, highlighting their respecitve strengths and weaknesses, and providing recommendations regarding the settings in which each approach might be preferable.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.