Your institution does not have access to this book on JSTOR. Try searching on JSTOR for other items related to this book. https://www.jstor.org/stable/10.1521/jj ...
Among the books in my 'to-read' pile that I don't remember when I added, there was a book called 'The Grand Unified Theory of ...
Artificial intelligence can solve problems at remarkable speed, but it's the people developing the algorithms who are truly driving discovery. At The University of Texas at Arlington, data scientists ...
As clinical drug development becomes more complex and resource-intensive, the FDA’s recent draft guidance on the use of Bayesian statistical methods in clinical trials signals a move toward more ...
IntroductionPurpose of this bookThis book depicts the path from Bayesian inference to deep learning as a single long-form technical volume. There is one central theme: how can we handle uncertainty in ...
When a cancer returns or spreads after surgery, radiation, and chemotherapy, the therapeutic arsenal shrinks dramatically.
Authors Max Schneider, Michael Barall, Peter Guttorp, Jeanne L. Hardebeck, Andrew J. Michael, Morgan T. Page, Nicholas van der Elst ...
Can mass shootings be forecast? Mohammad R.K. Mofrad and colleagues constructed an agent-based model of mass shootings within ...
Floods remain among the deadliest and most economically destructive natural hazards on Earth, and the window in which ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results