| 193 | -- | 202 | Cristian Oliva-Aviles, Paloma Hauser. Tolerance Intervals Under a Class of Unbalanced Linear Mixed Models |
| 203 | -- | 214 | Jaeshin Park, Eunshin Byon, Young Myoung Ko, Sara Shashaani. Strata Design for Variance Reduction in Stochastic Simulation |
| 215 | -- | 224 | Conor Murphy, Jonathan A. Tawn, Zak Varty. Automated Threshold Selection and Associated Inference Uncertainty for Univariate Extremes |
| 225 | -- | 237 | Benjamin K. Dahl, Matthew J. Heaton, Richard L. Warr, Jared D. Fisher, Grant G. Schultz. Modeling Crash Risk on Roadway Networks Using Bayesian Regression Trees |
| 238 | -- | 253 | Peihong Xiao, Yudong Wang, Wenting Liu, Zhisheng Ye 0001. Remaining Useful Life Prediction Based on Forward Intensity |
| 254 | -- | 266 | Jun Jin, Chao Ying, Zhou Yu. Distributed Estimation of Principal Support Vector Machines for Sufficient Dimension Reduction |
| 267 | -- | 269 | James Yang, Trevor Hastie. Note on the Equivalence of Orthogonalizing EM and Proximal Gradient Descent |
| 270 | -- | 282 | Gildas Mazo, Laurent Tournier. An Inference Method for Global Sensitivity Analysis |
| 283 | -- | 292 | Takayuki Iguchi, Andrés F. Barrientos, Eric Chicken, Debajyoti Sinha. Profile Monitoring via Eigenvector Perturbation |
| 293 | -- | 310 | Di Wang, Xiaochen Xian, Haidong Li. Spatiotemporal Interactive Modeling of Event-Based Dynamic Networks |
| 311 | -- | 322 | Abdul-Nasah Soale. Detecting Influential Observations in Single-Index Fréchet Regression |
| 323 | -- | 332 | Xingcai Zhou, Shengxian Ding, Jiangyan Wang, Rongjie Liu, Linglong Kong, Chao Huang. Distribution-on-Scalar Single-Index Quantile Regression Model for Handling Tumor Heterogeneity |
| 333 | -- | 343 | Youngdeok Hwang, Hang J. Kim, Won Chang, Christian Hong, Steven N. MacEachern. Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments |
| 344 | -- | 355 | Arnab Chakraborty, Soumendra Nath Lahiri. On Statistical Properties of a Veracity Scoring Method for Spatial Data |
| 356 | -- | 358 | Stan Lipovetsky. Modeling Reality with Mathematics: Alfio Quarteroni, Cham, Switzerland: Springer/Springer Nature Switzerland AG, 2022, xix + 123 pp., 20 illustrations in color, $24.99 (hbk), ISBN 978-3-030-96161-9 |
| 358 | -- | 359 | Sangjin Kim, Jai Woo Lee. Text as Data: A New Framework for Machine Learning and the Social Sciences: Justin Grimmer, Margaret E. Roberts, and Brandon M. Stewart, Princeton, NJ: Princeton University Press, 2022, 360 pp. $99.95 (Hardcover), ISBN: 9780691207544, $43 (Paperback), ISBN: 9780691207551 |
| 359 | -- | 360 | Shuangzhe Liu, Yonghui Liu. Skew-Normal Model Theories and Their Applications: Rendao Ye, Kun Luo, Wenyan Zhu, Yue Qi, Boca Raton, FL: CRC Press, 2024, 272, with 19 B/W illustrations, ISBN 9781032694696 (Hardcover) |
| 360 | -- | 362 | Cacu Cacu, Dadan Hermawan. Robust and Multivariate Statistical Methods: Festschrift in Honor of David E. Tyler: edited by Mengxi Yi and Klaus Nordhausen, Cham: Springer, 2023, XVIII + 495 pp., €149.79 (eBook), €179.79 (Softcover and Hardcover), ISBN 978-3-031-22687-8 (eBook), ISBN 978-3-031-22689-2 (Softcover), ISBN 978-3-031-22686-1 (Hardcover) |
| 362 | -- | 363 | Johanes Robert Kera, Agri Satrio Adi Nugroho. Machine Learning For Transportation Research and Application: Yinhai Wang, Zhiyong Cui, and Ruimin Ke, Amsterdam, Netherlands: Elsevier, 2023, 231 pp., ISBN 978-0-323-96126-4 |
| 364 | -- | 365 | Oktaviyani Daswati, Yunia Hasnataeni. Applied Microbiome Statistics Correlation, Association, Interaction and Composition, 1st ed: Yinglin Xia and Jun Sun, Boca Raton and Oxon: CRC Press Taylor & Francis Group, 2024, 456 pp., 46 Color & 5 B/W Illustrations, £140.00 ISBN 978-0-367-63970-9. Scope: Text in Biostatistics Series. Level: academics, students, researcher, and practitioners |