| 1 | -- | 3 | V. Roshan Joseph. Editor's Report |
| 4 | -- | 18 | Annie Sauer, Robert B. Gramacy, David Higdon. Active Learning for Deep Gaussian Process Surrogates |
| 19 | -- | 32 | Ruiyu Xu, Jianguo Wu, Xiaowei Yue, Yongxiang Li. Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning |
| 33 | -- | 43 | Wanrong Zhang 0001, Yajun Mei. Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control |
| 44 | -- | 56 | Haoyun Wang, Liyan Xie, Yao Xie 0002, Alex Cuozzo, Simon Mak. Sequential Change-Point Detection for Mutually Exciting Point Processes |
| 57 | -- | 69 | Qiao Liang, Shyam Ranganathan, Kaibo Wang, Xinwei Deng. JST-RR Model: Joint Modeling of Ratings and Reviews in Sentiment-Topic Prediction |
| 70 | -- | 82 | Abhinav Prakash, Rui Tuo, Yu Ding 0002. The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling |
| 83 | -- | 95 | Heegeon Yoon, Heeyoung Kim. Label-Noise Robust Deep Generative Model for Semi-Supervised Learning |
| 96 | -- | 104 | Rakhi Singh, John Stufken. Selection of Two-Level Supersaturated Designs for Main Effects Models |
| 105 | -- | 116 | Benjamin Seiyon Lee, Jaewoo Park. A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets |
| 117 | -- | 126 | Xiaoqian Liu, Eric C. Chi, Kenneth Lange. A Sharper Computational Tool for Regression |
| 127 | -- | 129 | Firdous 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 | -- | 131 | Mohieddine 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 | -- | 132 | Firdous 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 | -- | 133 | Roger 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 | -- | 134 | Shuangzhe 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 | -- | 136 | Stan 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 |