OOIR: Observatory of International Research

Papers

(The median citation count of Technometrics is 1. 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
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
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
Assurance for Sample Size Determination in Reliability Demonstration Testing	9
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
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
Reliable Post-Signal Fault Diagnosis for Correlated High-Dimensional Data Streams	7
Strategies for Supersaturated Screening: Group Orthogonal and Constrained Var(s) Designs	7
Understanding the Analytic Hierarchy Process	7

Deep Gaussian Process Emulation using Stochastic Imputation	6
Joint Models for Event Prediction From Time Series and Survival Data	6
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
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
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
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
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
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
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
Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data	2
A Graphical Multi-Fidelity Gaussian Process Model, with Application to Emulation of Heavy-Ion Collisions	2
Handbook of Measurement Error Models	2
Locally Optimal Design for A/B Tests in the Presence of Covariates and Network Dependence	2
Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing	2
Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation	2
Calibration of Imperfect Geophysical Models by Multiple Satellite Interferograms with Measurement Bias	2
Linear Models with Python	2
Spectral Clustering on Spherical Coordinates Under the Degree-Corrected Stochastic Blockmodel	2
Model Mixing Using Bayesian Additive Regression Trees	2
Order-Constrained ROC Regression With Application to Facial Recognition	2
Individual Transition Label Noise Logistic Regression in Binary Classification for Incorrectly Labeled Data	2
A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly	2
Functional Outlier Detection for Density-Valued Data with Application to Robustify Distribution-to-Distribution Regression	2
Advanced Engineering Mathematics	2
Comment: Regularization via Bayesian Penalty Mixing	2
Functional PCA With Covariate-Dependent Mean and Covariance Structure	2
Constructing a Simulation Surrogate with Partially Observed Output	2
Editorial: Celebrating 50 Years of Ridge Regression	2
Handbook of the Shapley Value	2
Editorial Announcement, V. Roshan Joseph, Editor	1
All the Math You’ll Ever Need: A Self-Teaching Guide (3rd Edition) All the Math You’ll Ever Need: A Self-Teaching Guide ( 3rd Edition )	1
A Scalable Gaussian Process for Large-Scale Periodic Data	1
Spatial Rank-Based Augmentation for Nonparametric Online Monitoring and Adaptive Sampling of Big Data Streams	1
Time Series: A First Course With Bootstrap Starter	1
Gaussian Process Emulation for High-Dimensional Coupled Systems	1
PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis	1
Monitoring Heterogeneous Multivariate Profiles Based on Heterogeneous Graphical Model	1
A Sharper Computational Tool for Regression	1
Feature Detection and Hypothesis Testing for Extremely Noisy Nanoparticle Images using Topological Data Analysis	1
Maximum One-Factor-At-A-Time Designs for Screening in Computer Experiments	1
Using BART to Perform Pareto Optimization and Quantify its Uncertainties	1
Practical Multivariate Analysis (6th ed.)	1
Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences	1
Sensitivity Prewarping for Local Surrogate Modeling	1
Robust and Efficient Parametric Spectral Density Estimation for High-Throughput Data	1
On Censoring Time in Statistical Monitoring of Lifetime Data	1
Editorial: Special Issue on Industry 4.0	1
Book Review	1
Efficient Model-Free Subsampling Method for Massive Data	1
Modality-Constrained Density Estimation via Deformable Templates	1
Statistical Process Monitoring of Artificial Neural Networks	1
JST-RR Model: Joint Modeling of Ratings and Reviews in Sentiment-Topic Prediction	1
Estimation of Spatial Deformation for Nonstationary Processes via Variogram Alignment	1
A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space	1
Spatial Ecology and Conservation Modeling: Applications With R	1
Practical Text Analytics: Maximizing the Value of Text Data	1
Statistical Universals of Language: Mathematical Chance vs. Human Choice	1
Aggregate Inverse Mean Estimation for Sufficient Dimension Reduction	1
Adaptive Partially Observed Sequential Change Detection and Isolation	1
Geometry in Our Three-Dimensional World	1
Measurement Models for Psychological Attributes	1
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modelling and Analysis of Big Data	1
Temporal Characterization and Filtering of Sensor Data to Support Anomaly Detection	1
A Bayesian Partially Observable Online Change Detection Approach with Thompson Sampling	1
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling	1
Statistical Rethinking: A Bayesian Course with Examples in R and Stan	1
Chance, Logic and Intuition: An Introduction to the Counter-Intuitive Logic of Chance	1
Detecting Changes in Covariance via Random Matrix Theory	1
Data Science for Wind Energy	1
Bivariate Functional Quantile Envelopes With Application to Radiosonde Wind Data	1
Statistical Modeling and Analysis of k-Layer Coverage of Two-Dimensional Materials in Inkjet Printing Processes	1
Analyzing Spatial Models of Choice and Judgment, Second Edition	1
R for Political Data Science: A Practical Guide	1
D- andA-Optimal Screening Designs	1
Integrals Related to the Error Function	1
Inference for the Optimum Using Linear Regression Models with Discrete Inputs	1