:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Weeraratne, Nuwan, Hunt, Lyn, Kurz, Jason
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2503.24248
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Principal Component Analysis When n < p: Challenges and Solutions
by: Weeraratne, Nuwan, et al.
Published: (2025)

Selecting the number of components in PCA via random signflips
by: Hong, David, et al.
Published: (2020)

Robust functional PCA for relative data
by: Oguamalam, Jeremy, et al.
Published: (2024)

PCA score regression: the art of losing power
by: Lu, Yu, et al.
Published: (2026)

PCA, SVD, and Centering of Data
by: Kim, Donggun, et al.
Published: (2023)

The $ϕ$-PCA Framework: A Unified and Efficiency-Preserving Approach with Robust Variants
by: Hung, Hung, et al.
Published: (2025)

Covariate Selection for Optimizing Balance with an Innovative Adaptive Randomization Approach
by: Guo, Ziqing, et al.
Published: (2024)

On the efficiency-loss free ordering-robustness of product-PCA
by: Hung, Hung, et al.
Published: (2023)

PCA for Point Processes
by: Picard, Franck, et al.
Published: (2024)

Bridged Posterior: Optimization, Profile Likelihood and a New Approach to Generalized Bayes
by: Zeng, Cheng, et al.
Published: (2024)

Selecting Informative Conformal Prediction Sets with an Optimized FCR-Controlled Approach
by: Solomon, Israela, et al.
Published: (2026)

Debiased distributed PCA under high dimensional spiked model
by: Li, Weiming, et al.
Published: (2025)

Homogeneity and Sub-homogeneity Pursuit: Iterative Complement Clustering PCA
by: Bi, Daning, et al.
Published: (2022)

Does PCA Work for Rough Functional Data?
by: Kutta, Tim, et al.
Published: (2026)

Reliability Study of Battery Lives: A Functional Degradation Analysis Approach
by: Cho, Youngjin, et al.
Published: (2022)

Tucker tensor factor models: matricization and mode-wise PCA estimation
by: Zhang, Xu, et al.
Published: (2022)

Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA
by: Zhou, Yuchen, et al.
Published: (2023)

Linear-Phase-Type probability modelling of functional PCA with applications to resistive memories
by: Ruiz-Castro, Juan E., et al.
Published: (2024)

Robust and Differentially Private PCA for non-Gaussian data
by: Kim, Minwoo, et al.
Published: (2025)

Sparse PCA: A New Scalable Estimator Based On Integer Programming
by: Behdin, Kayhan, et al.
Published: (2021)

Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
by: Dempsey, Daniel, et al.
Published: (2024)

Sufficient conditions for proper posteriors in fully-Bayesian Functional PCA
by: Sartini, Joseph, et al.
Published: (2026)

Tensor PCA for Factor Models
by: Babii, Andrii, et al.
Published: (2022)

Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness
by: Han, Sangil, et al.
Published: (2025)

Leveraging Neural Networks to Profile Health Care Providers with Application to Medicare Claims
by: Wu, Wenbo, et al.
Published: (2023)

Dimension estimation in PCA model using high-dimensional data augmentation
by: Radojicic, Una, et al.
Published: (2025)

Supervised Dynamic PCA: Linear Dynamic Forecasting with Many Predictors
by: Gao, Zhaoxing, et al.
Published: (2023)

Inference for Heteroskedastic PCA with Missing Data
by: Yan, Yuling, et al.
Published: (2021)

On GEE for Mean-Variance-Correlation Models: Variance Estimation and Model Selection
by: Xu, Zhenyu, et al.
Published: (2024)

Fast approximate Bayesian inference of HIV indicators using PCA adaptive Gauss-Hermite quadrature
by: Howes, Adam, et al.
Published: (2025)

An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes
by: Plecko, Drago, et al.
Published: (2025)

Empirical Bayes Covariance Decomposition, and a Solution to the Multiple Tuning Problem in Sparse PCA
by: Kang, Joonsuk, et al.
Published: (2023)

A Novel Exact Inference Approach for Log-Logistic Reliability Functions with Applications to Time-to-Event Data
by: Liu, Bowen, et al.
Published: (2026)

Sparse outlier-robust PCA for multi-source data
by: Puchhammer, Patricia, et al.
Published: (2024)

ROSE: Randomized Optimal Selection Design for Dose Optimization
by: Wang, Shuqi, et al.
Published: (2025)

Impact of Record-Linkage Errors in Covid-19 Vaccine-Safety Analyses using German Health-Care Data: A Simulation Study
by: Denz, Robin, et al.
Published: (2023)

Revisiting Bayesian Variable Selection via Optimization
by: Duan, Leo L
Published: (2026)

Bridging the Gap: Introducing Joint Models for Longitudinal and Time-to-event Data in the Social Sciences
by: Potts, Sophie, et al.
Published: (2025)

Misclassification of Vaccination Status in Electronic Health Records: A Bayesian Approach in Cluster Randomized Trials
by: Kaplan, Adam, et al.
Published: (2024)

A Bayesian Nonparametric Approach for Semi-Competing Risks with Application to Cardiovascular Health
by: Gelis-Cadena, Karina, et al.
Published: (2025)