137 | -- | 149 | Kungang Zhang, Anh Tuan Bui, Daniel W. Apley. Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors |
150 | -- | 161 | Deyu Ming, Daniel B. Williamson, Serge Guillas. Deep Gaussian Process Emulation using Stochastic Imputation |
162 | -- | 178 | Xiaojun Zheng, Simon Mak, Liyan Xie, Yao Xie 0002. PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis |
179 | -- | 191 | Jie Guo, Hao Yan, Chen Zhang 0007. A Bayesian Partially Observable Online Change Detection Approach with Thompson Sampling |
192 | -- | 205 | Wenlin Dai, Yan Song, Dianpeng Wang. A Subsampling Method for Regression Problems Based on Minimum Energy Criterion |
206 | -- | 219 | Xiaoyu Chen, Xiaoning Kang, Ran Jin, Xinwei Deng. Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing |
220 | -- | 230 | Qian Xiao, V. Roshan Joseph, Douglas M. Ray. Maximum One-Factor-At-A-Time Designs for Screening in Computer Experiments |
231 | -- | 242 | Ying Jin, Shan Ba. Toward Optimal Variance Reduction in Online Controlled Experiments |
243 | -- | 256 | Xin Zan, Di Wang, Xiaochen Xian. Spatial Rank-Based Augmentation for Nonparametric Online Monitoring and Adaptive Sampling of Big Data Streams |
257 | -- | 268 | Parfait Munezero, Mattias Villani, Robert Kohn. Dynamic Mixture of Experts Models for Online Prediction |
269 | -- | 280 | Xingchen Liu, Juan Du 0009, Zhisheng Ye 0001. A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation |
281 | -- | 295 | Yi Lian, Archer Y. Yang, Boxiang Wang, Peng Shi 0001, Robert William Platt. A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space |
296 | -- | 0 | Stan 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 | -- | 298 | Nisar 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 | -- | 299 | Peter 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 | -- | 301 | Firdous Ahmad Mala. Mathematical Analysis and Optimization for Economists: by Michael J. Panik, Chapman & Hall, 2021, 345 pp., $52.49 (HB), ISBN: 9780367759018 |
301 | -- | 302 | Firdous Ahmad Mala. Number Systems: A Path into Rigorous Mathematics: by Anthony Kay, CRC Press, 2022, 317 pp., $130.00 (hcb), ISBN: 9780367180614 |
302 | -- | 304 | Stan 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 |