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Annual Review of Statistics and Its Application
ISSN:
2326-8298
eISSN: 2326-831X
eISSN: 2326-831X
AIMS AND SCOPE OF JOURNAL: The Annual Review of Statistics and Its Application informs statisticians, and users of statistics about major methodological advances and the computational tools that allow for their implementation.
Published Since | 2014 |
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Journal Status | Active |
Impact Factor | 7.4 |
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Distributed Computing and Inference for Big Data
Vol. 11 (2024), pp. 533–551
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Statistical Brain Network Analysis
Vol. 11 (2024), pp. 505–531
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Analysis of Microbiome Data
Vol. 11 (2024), pp. 483–504
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Inverse Problems for Physics-Based Process Models
Vol. 11 (2024), pp. 461–482
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Geometric Methods for Cosmological Data on the Sphere
Vol. 11 (2024), pp. 437–460
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Convergence Diagnostics for Entity Resolution
Vol. 11 (2024), pp. 419–435
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Recent Advances in Text Analysis
Vol. 11 (2024), pp. 347–372
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Functional Data Analysis
Vol. 3 (2016), pp. 257–295
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Algorithmic Fairness: Choices, Assumptions, and Definitions
Vol. 8 (2021), pp. 141–163
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Microbiome, Metagenomics, and High-Dimensional Compositional Data Analysis
Vol. 2 (2015), pp. 73–94
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Curriculum Guidelines for Undergraduate Programs in Data Science
Richard D. De Veaux, Mahesh Agarwal, Maia Averett, Benjamin S. Baumer, Andrew Bray, Thomas C. Bressoud, Lance Bryant, Lei Z. Cheng, Amanda Francis, Robert Gould, Albert Y. Kim, Matt Kretchmar, Qin Lu, Ann Moskol, Deborah Nolan, Roberto Pelayo, Sean Raleigh, Ricky J. Sethi, Mutiara Sondjaja, Neelesh Tiruviluamala, Paul X. Uhlig, Talitha M. Washington, Curtis L. Wesley, David White, and Ping YeVol. 4 (2017), pp. 15–30
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