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Editorial: Symposium on Data Science and Statistics 2022
Volume 21, Issue 2 (2023): Special Issue: Symposium Data Science and Statistics 2022, pp. 173–176
Claire McKay Bowen   Michael J. Grosskopf  

Authors

 
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https://doi.org/10.6339/23-JDS212EDI
Pub. online: 9 May 2023      Type: Editorial      Open accessOpen Access

Published
9 May 2023

References

 
Bang J, Oh S-Y (2023). FROSTY: A High-dimensional Scale-free Bayesian Network Learning Method. Journal of Data Science, 21(2): 354–367. https://doi.org/10.6339/23-JDS1097
 
Bradford D, VanderPlas S (2023). Exploring Rural Shrink Smart Through Guided Discovery Dashboards. Journal of Data Science, 21(2): 193–204. https://doi.org/10.6339/22-JDS1080
 
Cheng TSY, Liao X (2023). Binary Classification of Malignant Mesothelioma: A Comparative Study. Journal of Data Science, 21(2): 205–224. https://doi.org/10.6339/23-JDS1090
 
Daas P, de Miguel B, de Miguel M (2023). Identifying Drone Web Sites in Multiple Countries and Languages with a Single Model. Journal of Data Science, 21(2): 225–238. https://doi.org/10.6339/23-JDS1087
 
Pauler Ankerst D, Neumair M, (2023). Active Data Science for Improving Clinical Risk Prediction. Journal of Data Science, 21(2): 177–192. https://doi.org/10.6339/22-JDS1078
 
Petersen AH, Ramsey J, Ekstrøm CT, Spirtes P (2023). Causal discovery for observational sciences using supervised machine learning. Journal of Data Science, 21(2): 255–280. https://doi.org/10.6339/23-JDS1088
 
Pomeyie KK, Bean B, Sun Y (2023). Comparing Extreme Value Estimation Techniques for Short-Term Snow Accumulations. Journal of Data Science, 21(2): 368–390. https://doi.org/10.6339/23-JDS1086
 
Robinson EA, Howard R, VanderPlas S (2023). ‘You Draw It’: Implementation of visually fitted trends with r2d3. Journal of Data Science, 21(2): 281–294. https://doi.org/10.6339/22-JDS1083
 
Sartore L, Boryan C, Dau A, Willis P (2023). An Assessment of Crop-Specific Land Cover Predictions Using High-Order Markov Chains and Deep Neural Networks. Journal of Data Science, 21(2): 333–353. https://doi.org/10.6339/23-JDS1098
 
Schmid CS, Hunter DR (2023). Computing Pseudolikelihood Estimators for Exponential-Family Random Graph Models. Journal of Data Science, 21(2): 295–309. https://doi.org/10.6339/23-JDS1094
 
Seo J, Dogucu M (2023). Teaching Visual Accessibility in Introductory Data Science Classes with Multi-Modal Data Representations. Journal of Data Science, 21(2): 428–441. https://doi.org/10.6339/23-JDS1095
 
Thorp J, Levine RA, Fan J (2023). Random forest of interaction trees for estimating individualized treatment regimes with ordered treatment levels in observational studies. Journal of Data Science, 21(2): 391–411. https://doi.org/10.6339/23-JDS1084
 
Youngs I, Dick C, Prevost R (2023). Creating a Census County Assessment Tool for Visualizing Census Data. Journal of Data Science, 21(2): 239–254. https://doi.org/10.6339/22-JDS1082
 
Zhang C, Wu Z (2023). Assessment of projection pursuit index for classifying high dimension low sample size data in R. Journal of Data Science, 21(2): 310–332. https://doi.org/10.6339/23-JDS1096
 
Zhou W, Kroehl M, Meier M, Kaizer A (2023). Building a Foundation for More Flexible A/B Testing: Applications of Interim Monitoring to Large Scale Data. Journal of Data Science, 21(2): 412–427. https://doi.org/10.6339/23-JDS1099

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2023 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.
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