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 2020-04-01 to 2024-04-01.)

Article	Citations
SPlit: An Optimal Method for Data Splitting	51
Ridge Regularization: An Essential Concept in Data Science	35
Ridge Regression: A Historical Context	25
A Component-Position Model, Analysis and Design for Order-of-Addition Experiments	22
General Path Models for Degradation Data With Multiple Characteristics and Covariates	21
Active Learning for Deep Gaussian Process Surrogates	20
Transparent Sequential Learning for Statistical Process Control of Serially Correlated Data	18
Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning	17
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
An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data	10
Gaussian Process Assisted Active Learning of Physical Laws	10
The Reconstruction Approach: From Interpolation to Regression	10
Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control	10
An Intrinsic Geometrical Approach for Statistical Process Control of Surface and Manifold Data	10
Assurance for Sample Size Determination in Reliability Demonstration Testing	9
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
Reliable Post-Signal Fault Diagnosis for Correlated High-Dimensional Data Streams	7

Adaptive Process Monitoring Using Covariate Information	6
Comment: Feature Screening and Variable Selection via Iterative Ridge Regression	6
Robust Function-on-Function Regression	6
Statistical Intervals: A Guide for Practitioners and Researchers (2nd ed.)	6
Prediction of Future Failures for Heterogeneous Reliability Field Data	6
Deep Gaussian Process Emulation using Stochastic Imputation	6
Joint Models for Event Prediction From Time Series and Survival Data	6
Label-Noise Robust Deep Generative Model for Semi-Supervised Learning	5
Introduction to Data Science: Data Analysis and Prediction Algorithms With R	5
Comment: From Ridge Regression to Methods of Regularization	5
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks	5
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling	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
Analyzing Nonparametric Part-to-Part Variation in Surface Point Cloud Data	5
PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models	5
Template Priors in Bayesian Curve Registration	4
A Multifidelity Function-on-Function Model Applied to an Abdominal Aortic Aneurysm	4
Selection of Two-Level Supersaturated Designs for Main Effects Models	4
Sequential Change-Point Detection for Mutually Exciting Point Processes	4
Statistical Modeling and Monitoring of Geometrical Deviations in Complex Shapes With Application to Additive Manufacturing	4
A Multivariate Stochastic Degradation Model for Dependent Performance Characteristics	4
Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning	4
An Information Geometry Approach to Robustness Analysis for the Uncertainty Quantification of Computer Codes	4
Bayesian Generalized Sparse Symmetric Tensor-on-Vector Regression	4
Bayesian Analysis of Multifidelity Computer Models With Local Features and Nonnested Experimental Designs: Application to the WRF Model	4
Class Maps for Visualizing Classification Results	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
A Subsampling Method for Regression Problems Based on Minimum Energy Criterion	4
Nonparametric Control Charts for Monitoring Serial Dependence based on Ordinal Patterns	4
Comment: Ridge Regression—Still Inspiring After 50 Years	3
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors	3
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python	3
Sequential Designs for Filling Output Spaces	3
Comment: Ridge Regression, Ranking Variables and Improved Principal Component Regression	3
Comment: Ridge Regression and Regularization of Large Matrices	3
The Equation of Knowledge: From Bayes’ Rule to a Unified Philosophy of Science	3
Math and Art: An Introduction to Visual Mathematics, 2nd ed.,	3
Probability, Choice, and Reason	3
Image-Based Feedback Control Using Tensor Analysis	3
Handbook of Item Response Theory, Volume 1, Models	3
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data	3
A Simplified Formulation of Likelihood Ratio Confidence Intervals Using a Novel Property	3
A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input	3
Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models	3
2ˆ5 Problems for STEM Education	3
Advanced Statistics with Applications in R	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

Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates	3
Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing	3
High-Dimensional Cost-constrained Regression Via Nonconvex Optimization	3
Statistical Inference via Data Science: A Modern Dive Into R and the Tidyverse	3