| Replication or Exploration? Sequential Design for Stochastic Simulation Experiments |
15 |
| Real-Time Monitoring of High-Dimensional Functional Data Streams via Spatio-Temporal Smooth Sparse Decomposition |
11 |
| ADMM for High-Dimensional Sparse Penalized Quantile Regression |
10 |
| Bayesian Model Building From Small Samples of Disparate Data for Capturing In-Plane Deviation in Additive Manufacturing |
9 |
| Degradation in Common Dynamic Environments |
8 |
| Detecting Deviating Data Cells |
8 |
| Resolution Adaptive Fixed Rank Kriging |
7 |
| Meta-Kriging: Scalable Bayesian Modeling and Inference for Massive Spatial Datasets |
7 |
| Nonparametric Dynamic Curve Monitoring |
7 |
| Peaks Over Thresholds Modeling With Multivariate Generalized Pareto Distributions |
7 |
| A Monitoring and Diagnostic Approach for Stochastic Textured Surfaces |
6 |
| A Nonparametric Adaptive Sampling Strategy for Online Monitoring of Big Data Streams |
6 |
| Phase I Monitoring of Spatial Surface Data from 3D Printing |
5 |
| Some Multivariate Tests of Independence Based on Ranks of Nearest Neighbors |
5 |
| Permutation and Grouping Methods for Sharpening Gaussian Process Approximations |
5 |
| Most Recent Changepoint Detection in Panel Data |
5 |
| Robust Estimation Using Modified Huber's Functions With New Tails |
5 |
| Sequential Design for Functional Calibration of Computer Models |
4 |
| Robust Lasso Regression Using Tukey's Biweight Criterion |
4 |
| Pairwise Estimation of Multivariate Gaussian Process Models With Replicated Observations: Application to Multivariate Profile Monitoring |
4 |
| Efficient Integration of Sufficient Dimension Reduction and Prediction in Discriminant Analysis |
4 |
| Spatial Statistical Downscaling for Constructing High-Resolution Nature Runs in Global Observing System Simulation Experiments |
4 |
| Sequential Bayesian Design for Accelerated Life Tests |
4 |
| d-QPSO: A Quantum-Behaved Particle Swarm Technique for Finding D-Optimal Designs With Discrete and Continuous Factors and a Binary Response |
4 |
| Semiparametric Models for Accelerated Destructive Degradation Test Data Analysis |
4 |
| Nonparametric Modeling and Prognosis of Condition Monitoring Signals Using Multivariate Gaussian Convolution Processes |
3 |
| Profile Monitoring of Probability Density Functions via Simplicial Functional PCA With Application to Image Data |
3 |
| Nonparametric Finite Mixture of Gaussian Graphical Models |
3 |
| Using History Matching for Prior Choice |
3 |
| Image-Based Prognostics Using Penalized Tensor Regression |
3 |
| Bayesian Analysis of Accumulated Damage Models in Lumber Reliability |
3 |
| Design for Sequential Follow-Up Experiments in Computer Emulations |
3 |
| Flexible Expectile Regression in Reproducing Kernel Hilbert Spaces |
3 |
| A Dirichlet Process Gaussian State Machine Model for Change Detection in Transient Processes |
3 |
| Thresholded Multivariate Principal Component Analysis for Phase I Multichannel Profile Monitoring |
3 |
| Difference Detection Between Two Images for Image Monitoring |
2 |
| Bayesian Spatial Multivariate Receptor Modeling for Multisite Multipollutant Data |
2 |
| Analysis of Field Return Data With Failed-But-Not-Reported Events |
2 |
| Constructing Two-Level Designs by Concatenation of Strength-3 Orthogonal Arrays |
2 |
| A Hierarchical Model for Heterogenous Reliability Field Data |
2 |
| Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization |
2 |
| Efficient Blind Image Deblurring Using Nonparametric Regression and Local Pixel Clustering |
2 |
| Analysis of Repeatability and Reproducibility Studies With Ordinal Measurements |
2 |
| Space-Filling Designs for Robustness Experiments |
2 |
| A Decomposition of Total Variation Depth for Understanding Functional Outliers |
2 |
| Linear Hypothesis Testing With Functional Data |
2 |
| MacroPCA: An All-in-One PCA Method Allowing for Missing Values as Well as Cellwise and Rowwise Outliers |
2 |
| From Least Squares to Signal Processing and Particle Filtering |
2 |
| Inference on the Gamma Distribution |
2 |
| Band Depth Clustering for Nonstationary Time Series and Wind Speed Behavior |
2 |
