ArticleStatistics in medicine2021
Principal component analysis of hybrid functional and vector data.
Article in Statistics in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Immune infiltration and drug treatment response of angiogenesis-related LncRNA in lung adenocarcinoma.Medicine · 2025Article
- NRGCNMDA: Microbe-Drug Association Prediction Based on Residual Graph Convolutional Networks and Conditional Random Fields.Interdisciplinary sciences, computational life sciences · 2025Article
- Comparative Analysis of Volatile Organic Compounds in Different Parts of Ginseng Powder Using Gas Chromatography-Ion Mobility Spectrometry.Molecules (Basel, Switzerland) · 2025Article
- Prognostic value of disulfidptosis-associated genes in gastric cancer: a comprehensive analysis.Frontiers in oncology · 2025Article
- Identification and evaluation of phenotypic characters and genetic diversity analysis of 1,558 foxtail millet germplasm resources for conservation and breeding.Frontiers in plant science · 2025Article
- Development of a prognostic model based on lysosome-related genes for ovarian cancer: insights into tumor microenvironment, mutation patterns, and personalized treatment strategies.Cancer cell international · 2024Article
- Impact of water physicochemical properties on the survival of Oncomelania hupensis snails, the intermediate host of Schistosoma japonicum.BMC infectious diseases · 2024Article
- A Comprehensive Analysis of Fel Ursi and Its Common Adulterants Based on UHPLC-QTOF-MSMolecules (Basel, Switzerland) · 2024Article
- Genetic diversity analysis and core germplasm bank construction in cold resistant germplasm of rubber trees (Hevea brasiliensis).Scientific reports · 2024Article
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- A novel prognostic signature for lung adenocarcinoma based on cuproptosis-related lncRNAs: A Review.Medicine · 2022Review
- Survival Dynamics in Advanced Ovarian Cancer: R2 Resection Versus No-Surgery Paths Explored.Cancer control : journal of the Moffitt Cancer CenterArticle
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1 author.
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Abstract
We propose a practical principal component analysis (PCA) framework that provides a nonparametric means of simultaneously reducing the dimensions of and modeling functional and vector (multivariate) data. We first introduce a Hilbert space that combines functional and vector objects as a single hybrid object. The framework, termed a PCA of hybrid functional and vector data (HFV-PCA), is then based on the eigen-decomposition of a covariance operator that captures simultaneous variations of functional and vector data in the new space. This approach leads to interpretable principal components that have the same structure as each observation and a single set of scores that serves well as a low-dimensional proxy for hybrid functional and vector data. To support practical application of HFV-PCA, the explicit relationship between the hybrid PC decomposition and the functional and vector PC decompositions is established, leading to a simple and robust estimation scheme where components of HFV-PCA are calculated using the components estimated from the existing functional and classical PCA methods. This estimation strategy allows flexible incorporation of sparse and irregular functional data as well as multivariate functional data. We derive the consistency results and asymptotic convergence rates for the proposed estimators. We demonstrate the efficacy of the method through simulations and analysis of renal imaging data.
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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.