Dear Colleagues,
The 4th issue of Volume 22 of the Journal of Data Science was recently released (
https://jds-online.org/journal/JDS/issue/92). It contains 6 articles in the "Statistical Data Science" Section, 1 article in the "Computing in Data Science" Section, and 4 articles in the "Data Science in Action" Section.
All articles are published as open access under the CC-BY license (
https://creativecommons.org/licenses/by/4.0/) to ensure the widest dissemination. Thanks to funding from the School of Statistics and the Center for Applied Statistics at Renmin University of China, there are no Article Processing Charges. The journal is known for its fast review process and rigorous reproducibility checks.
Established in 2003, the Journal of Data Science aims to advance and promote data science methods, computing, and applications across all scientific fields where knowledge and insights are to be extracted from data. We welcome submissions to all sections of the journal, including 1) Philosophies of Data Science; 2) Statistical Data Science; 3) Computing in Data Science; 4) Data Science in Action; 5) Data Science Review; 6) Education in Data Science; and 7) Data Science Conversation.
Best regards,
Jun Yan
Editor, Journal of Data Science
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Journal of Data Science
Volume 22, Issue 4, 2024
Wang, B., Cheng, Y., & Levine, M. D. (2024). Identification of Optimal Combined Moderators for Time to Relapse. Journal of Data Science, 22(4), 469-485. doi:10.6339/23-JDS1107
Fang, Y., Koreisha, S. G., & Shao, Q. (2024). Revisiting the Use of Generalized Least Squares in Time Series Regression Models. Journal of Data Science, 22(4), 486-504. doi:10.6339/23-JDS1108
Bo, N., Wei, Y., Zeng, L., Kang, C., & Ding, Y. (2024). A Meta-Learner Framework to Estimate Individualized Treatment Effects for Survival Outcomes. Journal of Data Science, 22(4), 505-523. doi:10.6339/24-JDS1119
Hitz, A. S., Davis, R. A., & Samorodnitsky, G. (2024). Discrete Extremes. Journal of Data Science, 22(4), 524-536. doi:10.6339/24-JDS1120
Park, S., Yu, J., & Sternberg, Z. (2024). Multi-Dimensional Clustering Based on Restricted Distance-Dependent Mixture Dirichlet Process for Diffusion Tensor Imaging. Journal of Data Science, 22(4), 537-557. doi:10.6339/24-JDS1125
Das, S., & Mukherjee, P. S. (2024). Image Registration for Zooming Using Similarity Matching. Journal of Data Science, 22(4), 558-574. doi:10.6339/24-JDS1139
Lundell, J. F. (2023). Tuning Support Vector Machines and Boosted Trees Using Optimization Algorithms. Journal of Data Science, 22(4), 575-590. doi:10.6339/23-JDS1106
Richardson, R., Leach, D., Winans, N., Degnan, D., Prymolenna, A., & Bramer, L. (2024). Race-Specific Risk Factors for Homeownership Disparity in the Continental United States. Journal of Data Science, 22(4), 591-604. doi:10.6339/23-JDS1116
Medri, J., Channagiri, T., & Lu, L. (2024). Exploring Racial and Ethnic Differences in US Home Ownership with Bayesian Beta-Binomial Regression. Journal of Data Science, 22(4), 605-620. doi:10.6339/23-JDS1113
Rossi, R. (2024). Impacts of COVID-19 on Public Universities in Brazil: A Machine Learning Counterfactual Analysis. Journal of Data Science, 22(4), 621-630. doi:10.6339/24-JDS1118