Cover Image

Space-Filling One-Factor-At-A-Time Designs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Wei-Yang, Joseph, V. Roshan
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Automated Analysis of Experiments using Hierarchical Garrote
by: Yu, Wei-Yang, et al.
Published: (2024)

Factor Importance Ranking and Selection using Total Indices
by: Huang, Chaofan, et al.
Published: (2024)

Rational Kriging
by: Joseph, V. Roshan
Published: (2023)

Efficient Active Learning Strategies for Computer Experiments
by: Song, Difan, et al.
Published: (2025)

Robust designs for Gaussian process emulation of computer experiments
by: Mak, Simon, et al.
Published: (2025)

Active Learning via Heteroskedastic Rational Kriging
by: Wang, Shangkun, et al.
Published: (2025)

Enhancing Sample Quality through Minimum Energy Importance Weights
by: Huang, Chaofan, et al.
Published: (2023)

Off-Policy Evaluation with Irregularly-Spaced, Outcome-Dependent Observation Times
by: Chen, Xin, et al.
Published: (2024)

Bayes Factor Group Sequential Designs
by: Pawel, Samuel, et al.
Published: (2026)

Minimax Optimal Design with Spillover and Carryover Effects
by: Yu, Haoyang, et al.
Published: (2025)

Dynamic Matrix Factor Models for High Dimensional Time Series
by: Yu, Ruofan, et al.
Published: (2024)

Time-Varying Matrix Factor Models
by: Chen, Bin, et al.
Published: (2024)

Causal Effect Estimation on Restricted Mean Survival Time in Case-Cohort Studies via a Matching Design
by: Ni, Andy, et al.
Published: (2026)

Expected Weighted D-optimal Designs for Experiments with Mixed Factors
by: Lin, Siting, et al.
Published: (2025)

ForLion: A New Algorithm for D-optimal Designs under General Parametric Statistical Models with Mixed Factors
by: Huang, Yifei, et al.
Published: (2023)

Sparse-Group Factor Analysis for High-Dimensional Time Series
by: Wang, Xin, et al.
Published: (2025)

A Design-Based Matching Framework for Staggered Adoption with Time-Varying Confounding
by: Kim, Suehyun, et al.
Published: (2025)

Approximate Factor Models for Functional Time Series
by: Otto, Sven, et al.
Published: (2022)

Factor Modelling for Biclustering Large-dimensional Matrix-valued Time Series
by: He, Yong, et al.
Published: (2025)

A Causal Framework for Evaluating Jointly Longitudinal Outcomes and Surrogate Markers: A State-Space Approach
by: Santos Jr., Silvaneo V. dos, et al.
Published: (2026)

Variable Selection for Stratified Sampling Designs in Semiparametric Accelerated Failure Time Models with Clustered Failure Times
by: Chen, Ying, et al.
Published: (2025)

Estimating Causal Attribution of Anthropogenic Forcing on High-Temperature Extremes Using a Latent Gaussian Spatial Model
by: Giri, Ritik Roshan, et al.
Published: (2026)

State-Space Modeling of Shape-constrained Functional Time Series
by: Hiraki, Daichi, et al.
Published: (2024)

Regularized Estimation of the Loading Matrix in Factor Models for High-Dimensional Time Series
by: Liu, Xialu, et al.
Published: (2025)

High-Dimensional Covariate-Augmented Overdispersed Poisson Factor Model
by: Liu, Wei, et al.
Published: (2024)

A Hybrid Framework Combining Autoregression and Common Factors for Matrix Time Series
by: Fan, Zhiyun, et al.
Published: (2025)

Factor Strength Estimation in Vector and Matrix Time Series Factor Models
by: Chen, Weilin, et al.
Published: (2024)

Determining The Number of Factors in Two-Way Factor Model of High-Dimensional Matrix-Variate Time Series: A White-Noise based Method for Serial Correlation Models
by: Xia, Qiang
Published: (2025)

A Continuous-Time Dynamic Factor Model for Intensive Longitudinal Data Arising from Mobile Health Studies
by: Abbott, Madeline R., et al.
Published: (2023)

Space-Time Smoothing of Survey Outcomes using the R Package SUMMER
by: Li, Zehang Richard, et al.
Published: (2020)

Testing Alpha in High-Dimensional Conditional Time-Varying Factor Models with Dependent Observations
by: Feng, Long, et al.
Published: (2026)

Denoising and Multilinear Projected-Estimation of High-Dimensional Matrix-Variate Factor Time Series
by: Gao, Zhaoxing, et al.
Published: (2023)

High-Dimensional Covariate-Augmented Overdispersed Multi-Study Poisson Factor Model
by: Liu, Wei, et al.
Published: (2024)

State-Space Modeling of Time-Varying Spillovers on Networks
by: Papamichalis, Marios, et al.
Published: (2025)

A-optimal Designs under Generalized Linear Models
by: Yang, Yingying, et al.
Published: (2025)

High-Dimensional Multi-Study Multi-Modality Covariate-Augmented Generalized Factor Model
by: Liu, Wei, et al.
Published: (2025)

Missing Data in Discrete Time State-Space Modeling of Ecological Momentary Assessment Data: A Monte-Carlo Study of Imputation Methods
by: Slipetz, Lindley R., et al.
Published: (2023)

Attribution of Spurious Factors from High-Dimensional Functional Time Series
by: Nie, Adam, et al.
Published: (2026)

Optimal Designs for Gamma Degradation Tests
by: Tung, Hung-Ping, et al.
Published: (2025)

A New Fit Assessment Framework for Common Factor Models Using Generalized Residuals
by: Sung, Youjin, et al.
Published: (2024)