Journal: Technometrics

Volume 65, Issue 4

453 -- 464Mengyang Gu, Kyle Anderson, Erika McPhillips. Calibration of Imperfect Geophysical Models by Multiple Satellite Interferograms with Measurement Bias
465 -- 479Feng Xu, Lianjie Shu, Yanting Li, Binhui Wang. Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection
480 -- 491Sean Ryan, Rebecca Killick. Detecting Changes in Covariance via Random Matrix Theory
492 -- 501Jonathan W. Stallrich, Katherine Allen-Moyer, Bradley Jones. A -Optimal Screening Designs
502 -- 513Brian P. Weaver, Scott A. Vander Wiel. Accelerated Event Times with Multiple Thresholds
514 -- 523Xin Wang 0042, Xin Zhang, Zhengyuan Zhu. Clustered Coefficient Regression Models for Poisson Process with an Application to Seasonal Warranty Claim Data
524 -- 536Shuoli Chen, Kejun He, Shiyuan He, Yang Ni, Raymond K. W. Wong. Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior
537 -- 552Qiang Heng, Eric C. Chi, Yufeng Liu. 2 Criterion
553 -- 563Gilberto Chávez-Martínez, Ankush Agarwal, Abbas Khalili, Syed Ejaz Ahmed. Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models
564 -- 578Xinchao Liu, Xiao Liu, Tulin Kaman, Xiaohua Lu, Guang Lin. Statistical Learning for Nonlinear Dynamical Systems with Applications to Aircraft-UAV Collisions
579 -- 589Hang Yin, Abolfazl Safikhani, George Michailidis. A General Modeling Framework for Network Autoregressive Processes
590 -- 603Andrew M. Thomas, Peter A. Crozier, Yuchen Xu 0007, David S. Matteson. Feature Detection and Hypothesis Testing for Extremely Noisy Nanoparticle Images using Topological Data Analysis
604 -- 606Stan Lipovetsky. 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., $ 47.96 (pbk), ISBN 9780367548414
606 -- 607Fajar Pitarsi Dharma, Moses Laksono Singgih, Hamdan S. Bintang. 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, https://doi.org/10.1201/9781003187158
607 -- 609Aszani Aszani. 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., $ 88.00, ISBN: 978-1-032-06536-6 (H)
609 -- 610Irvanal Haq, Nila Lestari. Statistical GenomicsBrooke Fridley and Xuefeng Wang, New York, NY: Humana, 2023, 377 pp., EUR 169.99, ISBN 978-1-0716-2986-4 (eBook)
610 -- 611Enrique Garcia-Ceja. A Criminologist's Guide to R: Crime by the NumbersJacob Kaplan, Boca Raton, FL: Chapman and Hall/CRC Press, Taylor & Francis Group, 2022, 432 pp., ISBN 9781032244075
611 -- 0Abdulkadir Hussein. 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 Ahmed, and Bahadir Yüzbaşı, New York: Chapman and Hall/CRC Press, 2023, 408 pp., ISBN 9780367763442
611 -- 613Stan Lipovetsky. 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 978-1-108-82341-8
613 -- 614Stan Lipovetsky. 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 B/W illustrations, $ 31.16 (pbk), ISBN 9780367740900

Volume 65, Issue 3

305 -- 314Zhen Zhong, Kamran Paynabar, Jianjun (Jan) Shi. Image-Based Feedback Control Using Tensor Analysis
315 -- 327Qingqing Zhai, Zhi-Sheng Ye 0001. A Multivariate Stochastic Degradation Model for Dependent Performance Characteristics
328 -- 339Naichen Shi, Raed Al Kontar. Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing
340 -- 350Christian H. Weiß, Murat Caner Testik. Nonparametric Control Charts for Monitoring Serial Dependence based on Ordinal Patterns
351 -- 362Xinyi Lei, Zhicheng Chen, Hui Li 0035. Functional Outlier Detection for Density-Valued Data with Application to Robustify Distribution-to-Distribution Regression
363 -- 374Yongxiang Li, Yuting Pu, Changming Cheng, Qian Xiao. A Scalable Gaussian Process for Large-Scale Periodic Data
375 -- 387Jinwei Yao, Xiaochen Xian, Chao Wang. Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation
388 -- 395Shin-Fu Tsai. Dual-Orthogonal Arrays for Order-of-Addition Two-Level Factorial Experiments
396 -- 405Dennis K. J. Lin, Jianbin Chen. Adaptive Order-of-Addition Experiments via the Quick-Sort Algorithm
406 -- 417Chunya Li, XiaoJun Cui, Shifeng Xiong. Design and Analysis of Computer Experiments with both Numeral and Distributional Inputs
418 -- 431Chenglong Li, Xun Xiao. On Censoring Time in Statistical Monitoring of Lifetime Data
432 -- 445Xiao Liu, Kyongmin Yeo. Inverse Models for Estimating the Initial Condition of Spatio-Temporal Advection-Diffusion Processes
446 -- 448Stan Lipovetsky. The Energy of Data and Distance Correlation,: Gabor J. Szekely and Maria L. Rizzo, Boca Raton, FL: CRC/CRC Press/Chapman & Hall/Taylor & Francis Group, 2023, xvii + 448 pp., $120.00 (hbk), 7 Color & 24 B/W Illustrations, ISBN 978-1-482-24274-4
448 -- 449Suprianto, Nur Alam. Mathematical Modeling in Biology: A Research Methods Approach, 1st ed.: Shandelle M. Henson and James L. Hayward, Boca Raton, FL: Chapman and Hall/CRC Press, 2023, XXI + 315 pp., ISBN: 9781032208213 (hbk). Scope: Textbook. Level: Advanced Mathematics and Science Undergraduate Students and Graduate-Level Biology Students
449 -- 450Firdous Ahmad Mala. Polynomial Methods and Incidence Theory: Adam Sheffer, Cambridge University Press, 2022, 263 pp., $64.99, ISBN: 9781108959988
450 -- 451Firdous Ahmad Mala. Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports, 2nd ed.: Wayne L. Winston, Scott Nestler, and Konstantinos Pelechrinis, Princeton University Press, 2022, 608 pp., $24.95, ISBN: 9780691177625
451 -- 452Aminatus Sa'adah. Artificial Intelligence with Python: Teik Toe Teoh and Zheng Rong, Springer, 2022, 336 pp., EUR 16.99, ISBN 978-981-16-8615-3

Volume 65, Issue 2

137 -- 149Kungang Zhang, Anh Tuan Bui, Daniel W. Apley. Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors
150 -- 161Deyu Ming, Daniel B. Williamson, Serge Guillas. Deep Gaussian Process Emulation using Stochastic Imputation
162 -- 178Xiaojun Zheng, Simon Mak, Liyan Xie, Yao Xie 0002. PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis
179 -- 191Jie Guo, Hao Yan, Chen Zhang 0007. A Bayesian Partially Observable Online Change Detection Approach with Thompson Sampling
192 -- 205Wenlin Dai, Yan Song, Dianpeng Wang. A Subsampling Method for Regression Problems Based on Minimum Energy Criterion
206 -- 219Xiaoyu Chen, Xiaoning Kang, Ran Jin, Xinwei Deng. Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing
220 -- 230Qian Xiao, V. Roshan Joseph, Douglas M. Ray. Maximum One-Factor-At-A-Time Designs for Screening in Computer Experiments
231 -- 242Ying Jin, Shan Ba. Toward Optimal Variance Reduction in Online Controlled Experiments
243 -- 256Xin Zan, Di Wang, Xiaochen Xian. Spatial Rank-Based Augmentation for Nonparametric Online Monitoring and Adaptive Sampling of Big Data Streams
257 -- 268Parfait Munezero, Mattias Villani, Robert Kohn. Dynamic Mixture of Experts Models for Online Prediction
269 -- 280Xingchen Liu, Juan Du 0009, Zhisheng Ye 0001. A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation
281 -- 295Yi Lian, Archer Y. Yang, Boxiang Wang, Peng Shi 0001, Robert William Platt. A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space
296 -- 0Stan Lipovetsky. Introduction to Math Olympiad Problems: by Michael A. Radin, Boca Raton, FL, Chapman and Hall/CRC Press, Taylor & Francis Group, 2021, 160 pp., $23.96 (pbk), ISBN 9780367544713
297 -- 298Nisar Ahmad Khan. The Effect: An Introduction to Research Design and Causality: by Nisar Ahmad Khan, New York, Chapman and Hall/CRC, 2021, 646 pp., $23.99 (pbk), ISBN 978-1-032-12578-7
298 -- 299Peter Wludyka. Principles of Biostatistics: by Marcello Pagano, Kimberlee Gauvreau, and Heather Mattie, CRC Press, Boca Raton, FL, 2022, 620 pp., $79.95, ISBN 9780429340512
300 -- 301Firdous Ahmad Mala. Mathematical Analysis and Optimization for Economists: by Michael J. Panik, Chapman & Hall, 2021, 345 pp., $52.49 (HB), ISBN: 9780367759018
301 -- 302Firdous Ahmad Mala. Number Systems: A Path into Rigorous Mathematics: by Anthony Kay, CRC Press, 2022, 317 pp., $130.00 (hcb), ISBN: 9780367180614
302 -- 304Stan Lipovetsky. Handbook of Measurement Error Models: edited by Grace Y. Yi, Aurore Delaigle, and Paul Gustafson, Boca Raton, FL, Chapman & Hall/CRC Press, Taylor & Francis Group, 2021, xiv+577 pp., 33 B/W illustrations, $200.00 (hbk), ISBN 978-1-138-10640-6

Volume 65, Issue 1

1 -- 3V. Roshan Joseph. Editor's Report
4 -- 18Annie Sauer, Robert B. Gramacy, David Higdon. Active Learning for Deep Gaussian Process Surrogates
19 -- 32Ruiyu Xu, Jianguo Wu, Xiaowei Yue, Yongxiang Li. Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning
33 -- 43Wanrong Zhang 0001, Yajun Mei. Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control
44 -- 56Haoyun Wang, Liyan Xie, Yao Xie 0002, Alex Cuozzo, Simon Mak. Sequential Change-Point Detection for Mutually Exciting Point Processes
57 -- 69Qiao Liang, Shyam Ranganathan, Kaibo Wang, Xinwei Deng. JST-RR Model: Joint Modeling of Ratings and Reviews in Sentiment-Topic Prediction
70 -- 82Abhinav Prakash, Rui Tuo, Yu Ding 0002. The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling
83 -- 95Heegeon Yoon, Heeyoung Kim. Label-Noise Robust Deep Generative Model for Semi-Supervised Learning
96 -- 104Rakhi Singh, John Stufken. Selection of Two-Level Supersaturated Designs for Main Effects Models
105 -- 116Benjamin Seiyon Lee, Jaewoo Park. A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets
117 -- 126Xiaoqian Liu, Eric C. Chi, Kenneth Lange. A Sharper Computational Tool for Regression
127 -- 129Firdous Ahmad Mala. Geometry in Our Three-Dimensional World: by Alfred S. Posamentier, Bernd Thaller, Christian Dorner, Robert Geretschläger, Guenter Maresch, Christian Spreitzer, David Stuhlpfarrer, World Scientific, 2021, 440 pp., $118.00 (HB), ISBN 9789811237102
129 -- 131Mohieddine Rahmouni. Dark Data: Why What You Don't Know Matters: by David J. Hand, Princeton, NJ: Princeton University Press, 2020, xii + 330 pp., ISBN 9780691182377
131 -- 132Firdous Ahmad Mala. Vedic Mathematics: A Mathematical Tale from the Ancient Veda to Modern Times: by Giuseppe Dattoli, Silvia Licciardi, and Marcello Artioli, World Scientific, 2021, 232 pp., $68 (HB), ISBN 9789811221552
132 -- 133Roger M. Sauter. Foundations of Statistics for Data Scientists: With R and Python: by Alan Agresti and Maria Kateri, Boca Raton, FL: Chapman and Hall/CRC, 2022, xv + 453 pp., $136.46 (hcb)
133 -- 134Shuangzhe Liu. Directional Statistics for Innovative Applications: A Bicentennial Tribute to Florence Nightingale: by Ashis SenGupta and Barry C. Arnold, Singapore: Springer, 2022, XIX, 488 pp., with 49 b/w illustrations, 93 illustrations in color, ISBN 978-981-19-1043-2 (hbk)
134 -- 136Stan Lipovetsky. Chance, Logic and Intuition: An Introduction to the Counter-Intuitive Logic of Chance: by Steven Tijms, Singapore: World Scientific, 2021, 256 pp., $34.00 (pbk), ISBN 978-981-124-783-5