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 2022-08-01 to 2026-08-01.)

Article	Citations
2022 Ziegel Award Announcement	36
Handbook of Measurement Error Models	29
Foundations of Statistics for Data Scientists: With R and Python	27
Advanced Statistical Methods	25
Emulating Simulation Experiments with Grounding Using a Two-Stage Classification-Regression Model	24
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice	22
Statistical GenomicsBrooke Fridley and Xuefeng Wang, New York, NY: Humana, 2023, 377 pp., EUR 169.99, ISBN 978-1-0716-2986-4 (eBook)	21
Mathematical Analysis and Optimization for Economists	21
The Science of Hockey: The Math, Technology, and Data Behind the Sport The Science of Hockey: The Math, Technology, and Data Behind the Sport Edited by Kevin Snow, Forew	20
A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space	19
Thoughts on Forward-Inverse Maps	18
Just Enough Data Science and Machine Learning	17
The 2023 Technometrics Prizes	17
Likelihood Inference for Possibly Nonstationary Processes via Adaptive Overdifferencing	17
Partial Least Squares Regression: and Related Dimension Reduction Methods	13
Deep Latent Factor Model for Spatio-Temporal Forecasting	13
A Local Variational Inference Framework for the Orthogonal Gaussian Process Calibration	12
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling	11
The 2024 Technometrics Prizes	11
Hands-On Data Science for Librarians Hands-On Data Science for Librarians Sarah Lin and Dorris Scott, Boca Raton, FL: CRC Press, 2023, 200 pp., $69.95, ISBN: 97810032180	11
Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning	11
Discussion of “Experimental Design and Modeling for Forward-Inverse Maps” by R. Barton & M. Morris, appearing in Technometrics	11
Bayesian Semiparametric Local Clustering of Multiple Time Series Data	10
Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation	10
Privacy-Aware Gaussian Process Regression	10

An Adjacency-Adaptive Gaussian Process Method for Sample Efficient Response Surface Modeling and Test-Point Acquisition	10
An Adaptive Sampling Strategy for Online Monitoring of Partially Observed Networks	9
Degradation Data Analysis based on Wiener Process with a Nonlinear Drift and a Stochastic Volatility	9
Hybrid Smoothing for Anomaly Detection in Time Series	9
A General Framework For Modeling Gaussian Process with Qualitative and Quantitative Factors	9
A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation	8
A Course in the Large Sample Theory of Statistical InferenceA Course in the Large Sample Theory of Statistical Inference, W. J. Hall and D. Oakes, Boca Raton, FL: Chapman and Hall, CRC Press, 2024, x	8
Bayesian Optimization via Exact Penalty	8
On Statistical Properties of a Veracity Scoring Method for Spatial Data	8
Detecting Influential Observations in Single-Index Fréchet Regression	8
Robust Latent Feature Learning for Incomplete Big Data	8
Computational and Analytic Methods in Biological Sciences, 1st ed. Computational and Analytic Methods in Biological Sciences, 1st ed. , Edited by Akshara Makrariya, Braj	7
Predictive Safety Analytics; Reducing Risk through Modeling and Machine Learning	7
The 2021 Technometrics Prizes	7
Optimal Planning of Destructive Degradation Tests	7
A Subsampling Method for Regression Problems Based on Minimum Energy Criterion	7
Probability Modeling and Statistical Inference in Cancer Screening	7
Constrained Bayesian Optimization with Lower Confidence Bound	7
Spatio-Temporal Analysis and Prediction of Mass Telecommunication Base Station Failure Events	7
Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models	7
Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction	6
Cellwise Outlier Detection in Heterogeneous Populations	6
Detecting Changes in Covariance via Random Matrix Theory	6
Optimal Experimental Designs for Process Robustness Studies	6
Correlation in Engineering and the Applied Sciences: Applications in R	6
A Sharper Computational Tool for Regression	6
Statistics Today: Everyday Applications, Research Questions, Insights, and Challenges	6
Spatio-Temporal Gaussian Process for Building Terrain-Incorporating Wind Power Curves	6
Principles of Biostatistics	6
A Periodic Fractional Wiener Process for Remaining Useful Life Prediction of Photovoltaic Systems with Long-Range Dependence	6
Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection	5
Efficient Active Learning Strategies for Computer Experiments	5
Screening Designs for Continuous and Categorical Factors	5
Towards Improved Heliosphere Sky Map Estimation with Theseus	5
Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition	5
Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations	5
Kernel-based Sensitivity Analysis for (Excursion) Sets	5
Calibrated Bayesian Nonparametric Tolerance Intervals	5
Symbolic Regression	5
Special Integrals	5
Batch Sequential Experimental Design for Calibration of Stochastic Simulation Models	5
A General Framework for Robust Monitoring of Multivariate Correlated Processes	5
Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates	5
Statistical Modeling of Occupant Behavior Statistical Modeling of Occupant Behavior , JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin	5
Robust Multivariate Functional Control Chart	5
Change Point Analysis: Theory and Application	4
Transfer Learning with Large-Scale Quantile Regression	4
Constructing a Simulation Surrogate with Partially Observed Output	4
Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments	4
Text as Data: A New Framework for Machine Learning and the Social Sciences	4

Modeling Crash Risk on Roadway Networks Using Bayesian Regression Trees	4
PICS: A Sequential Approach to Obtain Optimal Designs for Nonlinear Models Leveraging Closed-Form Solutions for Faster Convergence	4
Molecular Networking Statistical Mechanics in the Age of AI and Machine Learning Molecular Networking Statistical Mechanics in the Age of AI and Machine Learning , Edite	4
Technometrics 2023 Associate Editors	4
AI, Machine Learning and Deep Learning a Security PerspectiveEdited by Fei Hu, Xiali Hei, Boca Raton, FL:CRC Press, 2023, 346 pp., 136 B/W Illustrations, GBP 99.99 (Hardback), ISBN 9781032034041, http	4
Information Sharing for Robust and Stable Cross-Validation	3
Moving Sum Procedure for Change Point Detection under Piecewise Linearity	3
Luck, Logic, and White Lies: The Mathematics of Games; 2nd ed.Jörg Bewersdorff, translated by David Kramer, Boca Raton, FL: A.K. Peters/CRC Press, Taylor & Francis Group, 2021, xx + 548 pp., $ 47.	3
Clustered Coefficient Regression Models for Poisson Process with an Application to Seasonal Warranty Claim Data	3
Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data	3
Advances in Data Science and Analytics: Concepts and Paradigms (1st ed.)	3
Distributed Estimation of Principal Support Vector Machines for Sufficient Dimension Reduction	3
Machine Learning for Knowledge Discovery with R: Methodologies for Modeling, Inference, and PredictionKao-Tai Tsai, Boca Raton, FL: CRC Press, Taylor & Francis Group, LLC, 2022, xiii + 260 pp., $	3
Maximum One-Factor-At-A-Time Designs for Screening in Computer Experiments	3
Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data Under Data-Sharing Constraints	3
SEE-OOD: Supervised Exploration for Enhanced Out-of-Distribution Detection	3
(Almost) Impossible Integrals, Sums, and Series (Almost) Impossible Integrals, Sums, and Series , Cornel Ioan Vălean, Cham, Switzerland: Springer Nature Switzerland AG,	3
Active Learning with Adaptive Non-Stationary Kernel for Continuous-Fidelity Surrogate Models	3
Functional Outlier Detection for Density-Valued Data with Application to Robustify Distribution-to-Distribution Regression	3
Machine Learning For Transportation Research and Application	3
Chance, Logic and Intuition: An Introduction to the Counter-Intuitive Logic of Chance	3
Screening the Discrepancy Function of a Computer Model	3
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors	3
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior	3
Remaining Useful Life Prediction Based on Forward Intensity	3
Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data	3
Skew-Normal Model Theories and Their Applications	3
Bootstrapped Control Limits for Score-Based Concept Drift Control Charts	3
Adventures in Recreational Mathematics, Vol. 1 Adventures in Recreational Mathematics, Vol. 1 , by David Singmaster, Singapore: World Scientific, 2021, 316 pp., $38.00(p	3