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
JFM Rapids is a well-established section in JFM that continues to provide a highly visible venue for short, high-quality, articles addressing timely research...
Modelling and understanding how crime responds to deterrence is an interesting yet ambitious undertaking. Crime is shaped by a web of social environments, economic...
An impressively comprehensive textbook adopting a phenomenological approach to quantum physics. The chapters cover everything from basic definitions of key...
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