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 2021-02-01 to 2025-02-01.)

Article	Citations
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior	85
Handbook of Measurement Error Models	32
Adaptive Partially Observed Sequential Change Detection and Isolation	23
Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning	17
Data-Driven Pathwise Sampling Approaches for Online Anomaly Detection	15
Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data Under Data-Sharing Constraints	12
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice	12
Probability Modeling and Statistical Inference in Cancer Screening	11
Sequential Data Integration Under Dataset Shift	10
Polynomial Methods and Incidence Theory Polynomial Methods and Incidence Theory , Adam Sheffer, Cambridge University Press, 2022, 263 pp., $64.99, ISBN: 9781108959988	9
New Frontiers of Biostatistics and Bioinformatics	9
Adaptive Order-of-Addition Experiments via the Quick-Sort Algorithm	9
Explanatory Model Analysis: Explore, Explain and Examine Predictive Models,	9
Scalable Methods for Multiple Time Series Comparison in Second Order Dynamics	8
(Almost) Impossible Integrals, Sums, and Series (Almost) Impossible Integrals, Sums, and Series , Cornel Ioan Vălean, Cham, Switzerland: Springer Nature Switzerland AG,	8
Discrepancy Measures for Global Sensitivity Analysis	8
Vedic Mathematics: A Mathematical Tale from the Ancient Veda to Modern Times	8
Moving Sum Procedure for Change Point Detection under Piecewise Linearity	8
R for Political Data Science: A Practical Guide	7
A Proportional Intensity Model with Frailty for Missing Recurrent Failure Data	7
Math and Art: An Introduction to Visual Mathematics, 2nd ed.,	7
Screening the Discrepancy Function of a Computer Model	7
Modern Data Science with R (2nd ed.)	6
A Statistical Approach to Surface Metrology for 3D-Printed Stainless Steel	6
Density Regression with Conditional Support Points	6

Foundations of Statistical Mechanics Foundations of Statistical Mechanics Roman Frigg and Charlotte Werndl, UK: Cambridge University Press, 2024, 84 pp., $22.00, ISBN 97	6
The 2021 Technometrics Prizes	6
2022 Ziegel Award Announcement	6
Profile Monitoring via Eigenvector Perturbation	5
Statistical Universals of Language: Mathematical Chance vs. Human Choice	5
Clustered Coefficient Regression Models for Poisson Process with an Application to Seasonal Warranty Claim Data	5
Tolerance Intervals Under a Class of Unbalanced Linear Mixed Models	5
Multi-Agent Collaborative Bayesian Optimization via Constrained Gaussian Processes	5
PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models	5
A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets	5
Using BART to Perform Pareto Optimization and Quantify its Uncertainties	5
Gaussian Process-Aided Function Comparison Using Noisy Scattered Data	5
Foundations of Statistics for Data Scientists: With R and Python	5
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., $	5
Dynamic Mixture of Experts Models for Online Prediction	5
Strata Design for Variance Reduction in Stochastic Simulation	4
Principles of Biostatistics	4
Adventures in Recreational Mathematics, Vol. 2 Adventures in Recreational Mathematics, Vol. 2 , By David Singmaster, Singapore: World Scientific, 2022, 180 pp., $28.00 (	4
Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models	4
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields	4
Mathematical Analysis and Optimization for Economists	4
Model Mixing Using Bayesian Additive Regression Trees	4
Practical and Optimal Likelihood Intervals and Regions for Weibull and Gumbel Distributions	4
Statistical Modeling in Biomedical Research: Contemporary Topics and Voices in the Field	4
Accelerated Event Times with Multiple Thresholds	4
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	3
Statistical GenomicsBrooke Fridley and Xuefeng Wang, New York, NY: Humana, 2023, 377 pp., EUR 169.99, ISBN 978-1-0716-2986-4 (eBook)	3
Derivative based global sensitivity analysis and its entropic link	3
Philosophies, Puzzles and Paradoxes: A Statistician’s Search for Truth	3
Quantitative Investing: from Theory to Industry Quantitative Investing: from Theory to Industry , Lingjie Ma, Cham, Switzerland: Springer Nature Switzerland AG, 2020, xv	3
Design and Analysis of Computer Experiments with both Numeral and Distributional Inputs	3
Time Series Clustering and Classification	3
Statistical Methods in Health Disparity Research Statistical Methods in Health Disparity Research Edited by J. Sunil Rao, Boca Raton, CRC Press, 2023, 298 pp., £120.00,	3
Advanced Engineering Mathematics	3
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science, Student ed.Bradley Efron and Trevor Hastie, UK: Cambridge University Press, 2021, xix + 491 pp., $ 39.99 (pbk), ISBN 978-1-1	3
Image Comparison Based On Local Pixel Clustering	3
Fast and Exact Leave-One-Out Analysis of Large-Margin Classifiers	3
Mathematical Modeling: Models, Analysis and Applications, 2nd Edition Mathematical Modeling: Models, Analysis and Applications, 2nd Edition , by Sandip Banerjee, Boka Ra	3
Directional Statistics for Innovative Applications: A Bicentennial Tribute to Florence Nightingale	3
Class Maps for Visualizing Classification Results	3
Detecting Changes in Covariance via Random Matrix Theory	3
Feature Detection and Hypothesis Testing for Extremely Noisy Nanoparticle Images using Topological Data Analysis	3
Distribution-on-Scalar Single-Index Quantile Regression Model for Handling Tumor Heterogeneity	3
Kernel-based Sensitivity Analysis for (Excursion) Sets	3
High-Dimensional Cost-constrained Regression Via Nonconvex Optimization	3
A General Framework for Robust Monitoring of Multivariate Correlated Processes	3
Behavior Analysis with Machine Learning Using R,	3
Anomaly Detection in Large-Scale Networks With Latent Space Models	3
Statistical Modeling of Occupant Behavior Statistical Modeling of Occupant Behavior , JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin	2
A Multifidelity Function-on-Function Model Applied to an Abdominal Aortic Aneurysm	2

A Graphical Multi-Fidelity Gaussian Process Model, with Application to Emulation of Heavy-Ion Collisions	2
Linear Models with Python	2
A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space	2
Assurance for Sample Size Determination in Reliability Demonstration Testing	2
Prediction of Future Failures for Heterogeneous Reliability Field Data	2
Manhattan Project: The Story of the Century, by Bruce Cameron Reed. Springer Nature Switzerland AG, 2020,	2
A Sharper Computational Tool for Regression	2
Ranking Features to Promote Diversity: An Approach Based on Sparse Distance Correlation	2
Statistical Modeling of the Effectiveness of Preventive Maintenance for Repairable Systems	2
Handbook of Statistical Methods for Randomized Controlled Clinical Trials	2
A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input	2
Applied Machine Learning Using mlr3 in RApplied Machine Learning Using mlr3 in R, Edited by Bernd Bischl, Raphael Sonabend, Lars Kotthoff, and Michel Lang, Boca Raton, FL: CRC Press, Taylor & Fran	2
Accounting for Location Measurement Error in Imaging Data With Application to Atomic Resolution Images of Crystalline Materials	2
Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing	2
Artificial Intelligence with Python Artificial Intelligence with Python , Teik Toe Teoh and Zheng Rong, Springer, 2022, 336 pp., EUR 16.99, ISBN 978-981-16-8615-3.	2
Automated Threshold Selection and Associated Inference Uncertainty for Univariate Extremes	2
Experimental Design and Modeling for Forward-Inverse Maps	2
Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional DataPost-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data, Syed Ejaz Ahmed, Feryaal	2
Analyzing Nonparametric Part-to-Part Variation in Surface Point Cloud Data	2
Data Science and Machine Learning for Non-Programmers Using SAS Enterprise Miner, 1st ed. Data Science and Machine Learning for Non-Programmers Using SAS Enterprise Miner, 1st ed.	2
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling	1
Screening Designs for Continuous and Categorical Factors	1
Robust Multivariate Functional Control Chart	1
Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection	1
An Inference Method for Global Sensitivity Analysis	1
PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis	1
Assessing Measurement System Agreement in the Presence of Reproducibility and Repeatability	1
Mathematics of The Big Four Casino Table Games: Blackjack, Baccarat, Craps, & RouletteMark Bollman, Boca Raton, FL: CRC Press/Chapman & Hall, Taylor & Francis Group, 2021, xi +353 pp., 43	1
Efficient Model-Free Subsampling Method for Massive Data	1
Mathematical Statistics	1
Active Sampling: A Machine-Learning-Assisted Framework for Finite Population Inference with Optimal Subsamples	1
Modality-Constrained Density Estimation via Deformable Templates	1
Locally Adaptive Shrinkage Priors for Trends and Breaks in Count Time Series	1
Learning Microeconometrics with R	1
Scientific Journeys: A Physicist Explores the Culture, History and Personalities of Science	1
Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports, 2nd ed. Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports, 2nd ed . Wayne L.	1
Nonparametric Control Charts for Monitoring Serial Dependence based on Ordinal Patterns	1
Symbolic Regression	1
Likelihood Inference for Possibly Non-Stationary Processes via Adaptive Overdifferencing	1
Spatial Rank-Based Augmentation for Nonparametric Online Monitoring and Adaptive Sampling of Big Data Streams	1
A Multivariate Stochastic Degradation Model for Dependent Performance Characteristics	1
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling	1
Co-Active Subspace Methods for the Joint Analysis of Adjacent Computer Models	1
Fast Robust Location and Scatter Estimation: A Depth-based Method	1
Signal Classification in Large-Scale Multi-Sequence Integrative Analysis Under the HMM Dependence	1
Mathematical Modeling and Soft Computing in Epidemiology Mathematical Modeling and Soft Computing in Epidemiology , Edited by Jyoti Mishra, Ritu Agarwal, and Abdon Atang	1
Deep Latent Factor Model for Spatio-Temporal Forecasting	1
Bayesian Dynamic Feature Partitioning in High-Dimensional Regression With Big Data	1
Robust Low-Rank Tensor Decomposition with the L ₂ Criterion	1
Handbook of Regression Modeling in People Analytics: With Examples in R and Python,	1
Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional Data	1
Editorial: Special Issue on Industry 4.0	1
Detection of Emergent Anomalous Structure in Functional Data	1
Statistical Rethinking: A Bayesian Course with Examples in R and Stan	1
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data	1
Backseat Driver: The Role of Data in Great Car Safety Debates Backseat Driver: The Role of Data in Great Car Safety Debates Norma Faris Hubele, New York: Chapman and Hal	1
The 2023 Technometrics Prizes	1
JST-RR Model: Joint Modeling of Ratings and Reviews in Sentiment-Topic Prediction	1
Towards Improved Heliosphere Sky Map Estimation with Theseus	1
Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition	1
A Class of Hierarchical Multivariate Wiener Processes for Modeling Dependent Degradation Data	1
Handbook of Item Response Theory: Applications (3)	1
An Adaptive Sampling Strategy for Real-Time Anomaly Detection with Unmanned Sensing Vehicles	1
A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly	1
Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates	1
A Bayesian Partially Observable Online Change Detection Approach with Thompson Sampling	1