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Pushing the Boundaries of Data Science Through Statistical Modelling and Inference: Highlights from a Special Issue
Jyotishka Datta   Feng Guo  

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https://doi.org/10.51387/26-NEJSDS41EDI
Pub. online: 29 September 2026      Type: Editorial      Open accessOpen Access

Published
29 September 2026

References

[1] 
Datta, J. and Polson, N. (2026). Inverse Probability Weighting: From Survey Sampling to Evidence Estimation. The New England Journal of Statistics in Data Science 1–13. https://doi.org/10.51387/26-NEJSDS100.
[2] 
Fengler, M. R., Jäger, B. and Okhrin, O. (2025). Locally Adaptive Modeling of Unconditional Heteroskedasticity. The New England Journal of Statistics in Data Science 1–26. https://doi.org/10.51387/25-NEJSDS91.
[3] 
Ma, S., Yan, J. and Zhang, X. (2026). Extreme Value Modeling with Generalized Pareto Distributions for Rounded Data. The New England Journal of Statistics in Data Science 1–12. https://doi.org/10.51387/26-NEJSDS101.
[4] 
Ndreka, B., Dey, D. K. and Lachos, V. H. (2026). Bayesian Estimation of Contagion Effect: An Application of Friendship Networks and Alcohol Behavior. The New England Journal of Statistics in Data Science 1–13. https://doi.org/10.51387/26-NEJSDS94.
[5] 
Odoom, E. and Wang, X. (2026). Consistent and Scalable Variable Selection with Robust Link Functions. The New England Journal of Statistics in Data Science 1–15. https://doi.org/10.51387/26-NEJSDS102.
[6] 
Qian, C., Tao, C., Xu, J. and Guo, F. (2025). Variational Inference of Extremes for Rare Event Modeling: Theory and Applications. The New England Journal of Statistics in Data Science.
[7] 
Sahoo, I., Majumder, S., Hazra, A., Rappold, A. G. and Bandyopadhyay, D. (2025). Computationally Scalable Bayesian SPDE Modeling for Censored Spatial Responses. The New England Journal of Statistics in Data Science 1–15. https://doi.org/10.51387/25-NEJSDS78.
[8] 
Su, W., Wang, X., Miranda-Afonso, P., Andrinopoulou, E.-R. and Szczesniak, R. D. (2026). Modeling Disease Progression in the Presence of an Outcome-Dependent Visiting Process with Application to Cystic Fibrosis Clinical Data. The New England Journal of Statistics in Data Science 1–13. https://doi.org/10.51387/26-NEJSDS99.

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