Functional principal component analysis with informative observation times
Fuente:
arXiv
Guardado en:
| Autores principales: | Sang, Peijun, Kong, Dehan, Yang, Shu |
|---|---|
| Formato: | Preprint |
| Publicado: |
2022
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Varying coefficient model for longitudinal data with informative observation times
por: Gu, Yu, et al.
Publicado: (2026)
por: Gu, Yu, et al.
Publicado: (2026)
Towards R-learner with Continuous Treatments
por: Zhang, Yichi, et al.
Publicado: (2022)
por: Zhang, Yichi, et al.
Publicado: (2022)
Functional Cox model for interval-censored data
por: Xu, Yangjianchen, et al.
Publicado: (2026)
por: Xu, Yangjianchen, et al.
Publicado: (2026)
Kernel-based Method for Detecting Structural Break in Distribution of Functional Data
por: Sang, Peijun, et al.
Publicado: (2025)
por: Sang, Peijun, et al.
Publicado: (2025)
Functional principal component analysis for functional data with detection limits
por: Liu, Haiyan, et al.
Publicado: (2025)
por: Liu, Haiyan, et al.
Publicado: (2025)
Variational Nonparametric Inference in Functional Stochastic Block Model
por: Shang, Zuofeng, et al.
Publicado: (2024)
por: Shang, Zuofeng, et al.
Publicado: (2024)
Order Determination for Functional Data
por: Zhang, Chi, et al.
Publicado: (2025)
por: Zhang, Chi, et al.
Publicado: (2025)
Learning Shared and Source-specific Subspaces across Multiple Data Sources for Functional Data
por: Zhang, Chi, et al.
Publicado: (2025)
por: Zhang, Chi, et al.
Publicado: (2025)
Generalized dynamic functional principal component analysis
por: Khoo, Tzung Hsuen, et al.
Publicado: (2024)
por: Khoo, Tzung Hsuen, et al.
Publicado: (2024)
The synthetic instrument: From sparse association to sparse causation
por: Tang, Dingke, et al.
Publicado: (2023)
por: Tang, Dingke, et al.
Publicado: (2023)
Successive classification learning for estimating quantile optimal treatment regimes
por: Xia, Junwen, et al.
Publicado: (2025)
por: Xia, Junwen, et al.
Publicado: (2025)
Simultaneous Estimation of Multiple Treatment Effects from Observational Studies
por: Shi, Xiaochuan, et al.
Publicado: (2025)
por: Shi, Xiaochuan, et al.
Publicado: (2025)
Efficient Bayesian functional principal component analysis of irregularly-observed multivariate curves
por: Nolan, Tui, et al.
Publicado: (2023)
por: Nolan, Tui, et al.
Publicado: (2023)
Inference on the proportion of variance explained in principal component analysis
por: Perry, Ronan, et al.
Publicado: (2024)
por: Perry, Ronan, et al.
Publicado: (2024)
The curse of isotropy: from principal components to principal subspaces
por: Szwagier, Tom, et al.
Publicado: (2023)
por: Szwagier, Tom, et al.
Publicado: (2023)
Cellwise robust and sparse principal component analysis
por: Pfeiffer, Pia, et al.
Publicado: (2024)
por: Pfeiffer, Pia, et al.
Publicado: (2024)
Bootstrap Nonparametric Inference under Data Integration
por: Shang, Zuofeng, et al.
Publicado: (2025)
por: Shang, Zuofeng, et al.
Publicado: (2025)
Fighting Noise with Noise: Causal Inference with Many Candidate Instruments
por: Zhang, Xinyi, et al.
Publicado: (2022)
por: Zhang, Xinyi, et al.
Publicado: (2022)
Stationarity of Manifold Time Series
por: Zhu, Junhao, et al.
Publicado: (2024)
por: Zhu, Junhao, et al.
Publicado: (2024)
Functional principal component analysis as an alternative to mixed-effect models for describing sparse repeated measures in presence of missing data
por: Ségalas, Corentin, et al.
Publicado: (2024)
por: Ségalas, Corentin, et al.
Publicado: (2024)
Simultaneous hypothesis testing for comparing many functional means
por: Decker, Colin, et al.
Publicado: (2025)
por: Decker, Colin, et al.
Publicado: (2025)
A unified framework of principal component analysis and factor analysis
por: Xiong, Shifeng
Publicado: (2024)
por: Xiong, Shifeng
Publicado: (2024)
Truncated Gaussian copula principal component analysis with application to pediatric acute lymphoblastic leukemia patients' gut microbiome
por: Wang, Lei, et al.
Publicado: (2025)
por: Wang, Lei, et al.
Publicado: (2025)
On the estimation of the number of components in multivariate functional principal component analysis
por: Golovkine, Steven, et al.
Publicado: (2023)
por: Golovkine, Steven, et al.
Publicado: (2023)
Two-sample inference for sparse functional data
por: Zhang, Chi, et al.
Publicado: (2023)
por: Zhang, Chi, et al.
Publicado: (2023)
FCPCA: Fuzzy clustering of high-dimensional time series based on common principal component analysis
por: Ma, Ziling, et al.
Publicado: (2025)
por: Ma, Ziling, et al.
Publicado: (2025)
Likelihood-based Nonparametric Receiver Operating Characteristic Curve Analysis in the Presence of Imperfect Reference Standard
por: Sun, Yifan, et al.
Publicado: (2025)
por: Sun, Yifan, et al.
Publicado: (2025)
Continuum centroid classifier for functional data
por: Zhou, Zhiyang, et al.
Publicado: (2021)
por: Zhou, Zhiyang, et al.
Publicado: (2021)
New M-estimator of the leading principal component
por: Virta, Joni, et al.
Publicado: (2025)
por: Virta, Joni, et al.
Publicado: (2025)
Model positive and unlabeled data with a generalized additive density ratio model
por: Sang, Peijun, et al.
Publicado: (2025)
por: Sang, Peijun, et al.
Publicado: (2025)
On the use of the Gram matrix for multivariate functional principal components analysis
por: Golovkine, Steven, et al.
Publicado: (2023)
por: Golovkine, Steven, et al.
Publicado: (2023)
Statistical description and dimension reduction of continuous time categorical trajectories with multivariate functional principal components
por: Cardot, Hervé, et al.
Publicado: (2025)
por: Cardot, Hervé, et al.
Publicado: (2025)
Gaussian and bootstrap approximations for functional principal component regression
por: Yeon, Hyemin
Publicado: (2026)
por: Yeon, Hyemin
Publicado: (2026)
Estimating network-mediated causal effects via principal components network regression
por: Hayes, Alex, et al.
Publicado: (2022)
por: Hayes, Alex, et al.
Publicado: (2022)
Sparse group principal component analysis via double thresholding with application to multi-cellular programs
por: Xu, Qi, et al.
Publicado: (2026)
por: Xu, Qi, et al.
Publicado: (2026)
Multipopulation mortality modelling and forecasting: The multivariate functional principal component with time weightings approaches
por: Lam, Ka Kin, et al.
Publicado: (2021)
por: Lam, Ka Kin, et al.
Publicado: (2021)
Adaptive functional principal components analysis
por: Wang, Sunny G. W., et al.
Publicado: (2023)
por: Wang, Sunny G. W., et al.
Publicado: (2023)
Highly robust factored principal component analysis for matrix-valued outlier accommodation and explainable detection via matrix minimum covariance determinant
por: Wu, Wenhui, et al.
Publicado: (2025)
por: Wu, Wenhui, et al.
Publicado: (2025)
logitFD: an R package for functional principal component logit regression
por: Escabias, Manuel, et al.
Publicado: (2024)
por: Escabias, Manuel, et al.
Publicado: (2024)
Semiparametric principal stratification analysis beyond monotonicity
por: Tong, Jiaqi, et al.
Publicado: (2025)
por: Tong, Jiaqi, et al.
Publicado: (2025)
Ejemplares similares
-
Varying coefficient model for longitudinal data with informative observation times
por: Gu, Yu, et al.
Publicado: (2026) -
Towards R-learner with Continuous Treatments
por: Zhang, Yichi, et al.
Publicado: (2022) -
Functional Cox model for interval-censored data
por: Xu, Yangjianchen, et al.
Publicado: (2026) -
Kernel-based Method for Detecting Structural Break in Distribution of Functional Data
por: Sang, Peijun, et al.
Publicado: (2025) -
Functional principal component analysis for functional data with detection limits
por: Liu, Haiyan, et al.
Publicado: (2025)