OOIR: Observatory of International Research

Papers

(The TQCC of Technometrics is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)

Article	Citations
SPlit: An Optimal Method for Data Splitting	54
Ridge Regularization: An Essential Concept in Data Science	38
Ridge Regression: A Historical Context	26
General Path Models for Degradation Data With Multiple Characteristics and Covariates	24
Active Learning for Deep Gaussian Process Surrogates	24
A Component-Position Model, Analysis and Design for Order-of-Addition Experiments	23
Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning	19
Transparent Sequential Learning for Statistical Process Control of Serially Correlated Data	18
Elastic Depths for Detecting Shape Anomalies in Functional Data	16
Function-on-Function Kriging, With Applications to Three-Dimensional Printing of Aortic Tissues	14
Functional Regression Control Chart	13
Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control	12
Assurance for Sample Size Determination in Reliability Demonstration Testing	12
An Intrinsic Geometrical Approach for Statistical Process Control of Surface and Manifold Data	11
An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data	10
The Reconstruction Approach: From Interpolation to Regression	10
Gaussian Process Assisted Active Learning of Physical Laws	10
Can’t Ridge Regression Perform Variable Selection?	8
Super Resolution for Multi-Sources Image Stream Data Using Smooth and Sparse Tensor Completion and Its Applications in Data Acquisition of Additive Manufacturing	8
Fast and Exact Leave-One-Out Analysis of Large-Margin Classifiers	8
Novelty and Primacy: A Long-Term Estimator for Online Experiments	8
Anomaly Detection in Large-Scale Networks With Latent Space Models	8
Strategies for Supersaturated Screening: Group Orthogonal and Constrained Var(s) Designs	7
Understanding the Analytic Hierarchy Process	7
Analyzing Nonparametric Part-to-Part Variation in Surface Point Cloud Data	7

Label-Noise Robust Deep Generative Model for Semi-Supervised Learning	7
Reliable Post-Signal Fault Diagnosis for Correlated High-Dimensional Data Streams	6
Comment: Feature Screening and Variable Selection via Iterative Ridge Regression	6
Joint Models for Event Prediction From Time Series and Survival Data	6
Adaptive Process Monitoring Using Covariate Information	6
Prediction of Future Failures for Heterogeneous Reliability Field Data	6
Robust Function-on-Function Regression	6
Deep Gaussian Process Emulation using Stochastic Imputation	6
PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models	6
Image-Based Feedback Control Using Tensor Analysis	5
Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing	5
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks	5
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors	5
Gaussian Process-Aided Function Comparison Using Noisy Scattered Data	5
Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments	5
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling	5
Comment: From Ridge Regression to Methods of Regularization	5
A Subsampling Method for Regression Problems Based on Minimum Energy Criterion	4
Nonparametric Control Charts for Monitoring Serial Dependence based on Ordinal Patterns	4
Bayesian Analysis of Multifidelity Computer Models With Local Features and Nonnested Experimental Designs: Application to the WRF Model	4
A Multifidelity Function-on-Function Model Applied to an Abdominal Aortic Aneurysm	4
Understanding Elections Through Statistics: Polling, Prediction, and Testing	4
Sequential Design of Multi-Fidelity Computer Experiments: Maximizing the Rate of Stepwise Uncertainty Reduction	4
Sequential Change-Point Detection for Mutually Exciting Point Processes	4
Bayesian Generalized Sparse Symmetric Tensor-on-Vector Regression	4
A Multivariate Stochastic Degradation Model for Dependent Performance Characteristics	4
Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models	4
An Information Geometry Approach to Robustness Analysis for the Uncertainty Quantification of Computer Codes	4
Statistical Modeling and Monitoring of Geometrical Deviations in Complex Shapes With Application to Additive Manufacturing	4
Template Priors in Bayesian Curve Registration	4
Class Maps for Visualizing Classification Results	4
Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning	4
Selection of Two-Level Supersaturated Designs for Main Effects Models	4
Advanced Statistics with Applications in R	3
Handbook of Item Response Theory, Volume 1, Models	3
Sequential Designs for Filling Output Spaces	3
Comment: Ridge Regression, Ranking Variables and Improved Principal Component Regression	3
High-Dimensional Cost-constrained Regression Via Nonconvex Optimization	3
Math and Art: An Introduction to Visual Mathematics, 2nd ed.,	3
Comment: Ridge Regression—Still Inspiring After 50 Years	3
Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences	3
Big Data and Social Science: Data Science Methods and Tools for Research and Practice	3
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data	3
A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input	3
The Equation of Knowledge: From Bayes’ Rule to a Unified Philosophy of Science	3
2ˆ5 Problems for STEM Education	3
Probability, Choice, and Reason	3
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python	3
Constructing a Simulation Surrogate with Partially Observed Output	3
Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates	3

A Simplified Formulation of Likelihood Ratio Confidence Intervals Using a Novel Property	3
Comment: Ridge Regression and Regularization of Large Matrices	3