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Ideas formulated in terms of statistics and probability are uniquely portable across applied modeling and data-driven disciplines. Cambridge's publishing supports and promotes this central role by keeping statistics and probability in communication with each other, with their mathematical roots, and with the applied disciplines that both motivate and use advances in theory, methods, and computation.
Statistics and Probability Journals, more results, from A to Z
2024 JFM-Flow China Symposium: from fundamentals to applied mechanics, was an a landmark event co-hosted by the School of Aeronautic Science and Engineering...
JFM Rapids is a well-established section in the JFM that continues to provide a highly visible venue for short, high-quality, articles addressing timely research...
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