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Journal of Data Science


Editorial: Inquire, Investigate, Implement, Innovate – Symposium on Data Science and Statistics 2023
Volume 22, Issue 2 (2024): Special Issue: 2023 Symposium on Data Science and Statistics (SDSS): “Inquire, Investigate, Implement, Innovate”, pp. 173–175
Pub. online: 4 June 2024      Type: Editorial      Open accessOpen Access
Published
4 June 2024

References

 
Cairns J, Urbanek S, Murrell P (2024). A platform for large scale statistical modelling in R. Journal of Data Science. 22(2): 208–220.
 
Fagnant C, Schedler JC, Ensor KB (2024). Spatial-temporal extreme modeling for point-to-area random effects (PARE). Journal of Data Science. 22(2): 221–238.
 
Haycock S, Bean B, Burchfield E (2024). Producing fast and convenient machine learning benchmarks in R with the stressor package. Journal of Data Science. 22(2): 239–258.
 
Nzekwe CJ, Kim S, Sayed M (2024). Interaction Selection and Prediction Performance in High-Dimensional Data: A Comparative Study of Statistical and Tree-Based Methods. Journal of Data Science. 22(2): 259–279.
 
Rice K, Hofmann H, du Toit N, Mulrow E (2024). Testing perceptual accuracy in a U.S. general population survey using stacked bar charts. Journal of Data Science. 22(2): 280–297.
 
Rogers R, VanderPlas S (2024). Demonstrative Evidence and the Use of Algorithms in Jury Trials. Journal of Data Science. 22(2): 314–332.
 
Thatcher S, Alberts S, Beregovska T (2024). Interdisciplinary Approaches to Teaching Data Science. Journal of Data Science. 22(2): 333–351.
 
Wiederich T, VanderPlas S (2024). Evaluating Perceptual Judgements on 3D Printed Bar Charts. Journal of Data Science. 22(2): 176–190.
 
Yang Y, Perera C, Miller JP, Su X, Liu L (2024). Precision Medicine: Interaction Survival Tree for Recurrent Event Data. Journal of Data Science. 22(2): 298–313.
 
Yavuz Ozdemir Y, Nukala NCP, Molinari R, Deshpande G (2024). A Multi-Model Framework to Explore ADHD Diagnosis from Neuroimaging Data. Journal of Data Science. 22(2): 191–207.

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2024 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.
Open access article under the CC BY license.

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