Dear Colleagues,
Volume 21, Number 1 of the
Journal of Data Science (https://jds-online.org) was released in January 2023. (I am sorry for the late announcement. Just realized that it never went out while preparing for the announcement for the second issue, which will be out shortly.)
All the articles are published under the CC-BY license (
https://creativecommons.org/licenses/by/4.0/) for the widest dissemination. Funded by the School of Statistics and the Center for Applied Statistics, Renmin University of China, there are no Article Processing Charges. The journal features a fast review process and a reproducibility check.
Established in 2003, the Journal of Data Science aims to advance and promote data science methods, computing, and applications in all scientific fields where knowledge and insights are to be extracted from data. We welcome submissions to all the sections including 1) Philosophy 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.
Best regards,
Jun Yan
Editor, Journal of Data Science
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Journal of Data Science
Volume 21, Issue 1, 2023
Accelerating Fixed-Point Algorithms in Statistics and Data Science: A State-of-Art Review
Bohao Tang, Nicholas C. Henderson, Ravi Varadhan
https://doi.org/10.6339/22-JDS1051Pub. online: 19 Jul 2022 Type: Data Science Reviews Open access
pp. 1–26
Privacy-Preserving Inference on the Ratio of Two Gaussians Using Sums
Jingang Miao, Yiming Paul Li
https://doi.org/10.6339/22-JDS1050Pub. online: 16 Jun 2022 Type: Data Science In Action Open access
pp. 27–42
Motion Picture Editing as a Hawkes Process
Nick Redfern
https://doi.org/10.6339/22-JDS1055Pub. online: 7 Jul 2022 Type: Data Science In Action Open access
pp. 43–56
Data Science Applications and Implications in Legal Studies: A Perspective Through Topic Modelling
Jinzhe Tan, Huan Wan, Ping Yan, Zhen Zhu
https://doi.org/10.6339/22-JDS1058Pub. online: 4 Aug 2022 Type: Data Science In Action Open access
pp. 57–67
A Joint Analysis for Field Goal Attempts and Percentages of Professional Basketball Players: Bayesian Nonparametric Resource
Eliot Wong-Toi, Hou-Cheng Yang, Weining Shen, Guanyu Hu
https://doi.org/10.6339/22-JDS1062Pub. online: 9 Aug 2022 Type: Data Science In Action Open access
pp. 68–86
Variable Selection with Scalable Bootstrapping in Generalized Linear Model for Massive Data
Zhang Zhang, Zhibing He, Yichen Qin, Shen Yu, Ben-Chang Shia, Yang Li
https://doi.org/10.6339/22-JDS1052Pub. online: 7 Jul 2022 Type: Computing In Data Science Open access
pp. 87–105
Subpopulation Treatment Effect Pattern Plot (STEPP) Methods with R and Stata
Sergio Venturini Marco Bonetti Ann A. Lazar, Bernard F. Cole, Xin Victoria Wang, Richard D. Gelber, Wai-Ki Yip
Pub. online: 9 Aug 2022 Type: Computing In Data Science Open access
pp. 106–126
The Python Package open-crypto: A Cryptocurrency Data Collector
Steffen Günther Christian Fieberg Thorsten Poddig
https://doi.org/10.6339/22-JDS1059Pub. online: 10 Aug 2022 Type: Computing In Data Science Open access
pp. 127–144
Modeling County-Level Rare Disease Prevalence Using Bayesian Hierarchical Sampling Weighted Zero-Inflated Regression
Hui Xie Deborah B. Rolka Lawrence E. Barker
https://doi.org/10.6339/22-JDS1049Pub. online: 22 Jun 2022 Type: Statistical Data Science Open access
pp. 145–157
Sampling-based Gaussian Mixture Regression for Big Data
JooChul Lee Elizabeth D. Schifano HaiYing Wang
https://doi.org/10.6339/22-JDS1057Pub. online: 9 Aug 2022 Type: Statistical Data Science Open access
pp. 158–172