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  4. Inaugural Editorial. Can We Achieve Our ...

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Inaugural Editorial. Can We Achieve Our Mission: Fast, Accessible, Cutting-edge, and Top-quality?
Volume 1, Issue 1 (2023), pp. 1–3
Colin O. Wu   Ming-Hui Chen   Min-ge Xie     All authors (5)

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https://doi.org/10.51387/23-NEJSDS11EDI
Pub. online: 12 April 2023      Type: Editorial      Open accessOpen Access

Published
12 April 2023

Abstract

We are pleased to launch the first issue of the New England Journal of Statistics in Data Science (NEJSDS). NEJSDS is the official journal of the New England Statistical Society (NESS) under the leadership of Vice President for Journal and Publication and sponsored by the College of Liberal Arts and Sciences, University of Connecticut. The aims of the journal are to serve as an interface between statistics and other disciplines in data science, to encourage researchers to exchange innovative ideas, and to promote data science methods to the general scientific community. The journal publishes high quality original research, novel applications, and timely review articles in all aspects of data science, including all areas of statistical methodology, methods of machine learning, and artificial intelligence, novel algorithms, computational methods, data management and manipulation, applications of data science methods, among others. We encourage authors to submit collaborative work driven by real life problems posed by researchers, administrators, educators, or other stakeholders, and which require original and innovative solutions from data scientists.

References

[1] 
Meng, X.-L. (2022). Double Your Variance, Dirtify Your Bayes, Devour Your Pufferfish, and Draw your Kidstrogram. The New England Journal of Statistics in Data Science 1–20. https://doi.org/10.51387/22-NEJSDS6.

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Data Science NESS New Journal

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The New England Journal of Statistics in Data Science

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