Statistics - 2023

Long, A. S., Reich, B. J., Staicu, A.-M., & Meitzen, J. (2023, March 13). A nonparametric test of group distributional differences for hierarchically clustered functional data. BIOMETRICS, Vol. 3. https://doi.org/10.1111/biom.13846

Zou, H., Xiao, L., Zeng, D., & Luo, S. (2023, February 20). Multivariate functional mixed model with MRI data: An application to Alzheimer's disease. STATISTICS IN MEDICINE, Vol. 2. https://doi.org/10.1002/sim.9683

Lu, X., Che, Y., Rejesus, R. M., Goodwin, B. K., Ghosh, S. K., & Paudel, J. (2023). Unintended environmental benefits of crop insurance: Nitrogen and phosphorus in water bodies. ECOLOGICAL ECONOMICS, 204. https://doi.org/10.1016/j.ecolecon.2022.107657

Williams, J. P., Ommen, D. M., & Hannig, J. (2023). GENERALIZED FIDUCIAL FACTOR: AN ALTERNATIVE TO THE BAYES FACTOR FOR FORENSIC IDENTIFICATION OF SOURCE PROBLEMS. ANNALS OF APPLIED STATISTICS, 17(1), 378–402. https://doi.org/10.1214/22-AOAS1632

Shi, L., Wank, M., Chen, Y., Wang, Y., Liu, Y., Hector, E. C., & Song, P. X. K. (2023). Sleep Classification With Artificial Synthetic Imaging Data Using Convolutional Neural Networks. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 27(1), 421–432. https://doi.org/10.1109/JBHI.2022.3210485

Kirchner, M., Miller, W. G., Osborne, J. A., Badgley, B., Neidermeyer, J., & Kathariou, S. (2023). Campylobacter Colonization and Diversity in Young Turkeys in the Context of Gastrointestinal Distress and Antimicrobial Treatment. MICROORGANISMS, 11(2). https://doi.org/10.3390/microorganisms11020252

Wu, P.-S., & Martin, R. (2023). A Comparison of Learning Rate Selection Methods in Generalized Bayesian Inference. BAYESIAN ANALYSIS, 18(1), 105–132. https://doi.org/10.1214/21-BA1302

Sanders, C. W., Stewart, D. L., Pacifici, K., Hess, G. R., Olfenbuttel, C., & DePerno, C. S. (2023, January 23). Variations in reproduction and age structure in the North American river otter in North Carolina, USA. JOURNAL OF WILDLIFE MANAGEMENT. https://doi.org/10.1002/jwmg.22361

Wang, Y., Tzeng, J.-Y., Huang, Y., Maguire, R., Hoyo, C., & Allen, T. K. (2023). Duration of exposure to epidural anesthesia at delivery, DNA methylation in umbilical cord blood and their association with offspring asthma in Non-Hispanic Black women. ENVIRONMENTAL EPIGENETICS, 9(1). https://doi.org/10.1093/eep/dvac026

Song, K., & Zhou, Y.-H. (2023). Leveraging Scheme for Cross-Study Microbiome Machine Learning Prediction and Feature Evaluations. Bioengineering. https://doi.org/10.3390/bioengineering10020231

Heng, Q., Zhou, H., & Chi, E. C. (2023, February 24). Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, Vol. 2. https://doi.org/10.1080/10618600.2023.2170089

Lee, D., & Ghosh, S. (2023). Bayesian Analysis of First-Order Markov Models for Autocorrelated Binary Responses. JOURNAL OF STATISTICAL THEORY AND PRACTICE, 17(1). https://doi.org/10.1007/s42519-022-00305-4

Shao, S., Canner, J. E. E., Everett, R. A., Bekele-Maxwell, K., Kuerbis, A., Stephenson, L., … Banks, H. T. (2023). A Comparison of Mathematical and Statistical Modeling with Longitudinal Data: An Application to Ecological Momentary Assessment of Behavior Change in Individuals with Alcohol Use Disorder. BULLETIN OF MATHEMATICAL BIOLOGY, 85(1). https://doi.org/10.1007/s11538-022-01097-1

Wang, Y., & Ghosh, S. K. (2023). Nonparametric estimation of isotropic covariance function. Journal of Nonparametric Statistics. https://doi.org/10.1080/10485252.2022.2146111

Liu, X., Chi, E. C., & Lange, K. (2023). A Sharper Computational Tool for Regression. Technometrics. https://doi.org/10.1080/00401706.2022.2118172

Hector, E. C., Luo, L., & Song, P. X.-K. (2023). Parallel-and-stream accelerator for computationally fast supervised learning. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 177. https://doi.org/10.1016/j.csda.2022.107587

Ghosal, R., Ghosh, S., Urbanek, J., Schrack, J. A., & Zipunnikov, V. (2023). Shape-constrained estimation in functional regression with Bernstein polynomials. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 178. https://doi.org/10.1016/j.csda.2022.107614

Roberts, E., Ghosh, S., & Pourdeyhimi, B. (2023). Process–Structure–Property relationship of roping in meltblown nonwovens. The Journal of The Textile Institute. https://doi.org/10.1080/00405000.2022.2029277