A problem of interest for ecology and conservation is that of determining the best allocation of survey effort in studies aimed at estimating the proportion of sites occupied by a species. Many ...

Proceedings of the National Academy of Sciences of the United States of America, Vol. 108, No. 37 (September 13, 2011), pp. 15190-15195 (6 pages) Here we introduce a new design framework for synthetic ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Quantum designers: Florian Marquardt (left) and Leopoldo Sarra have shown how deep Bayesian experimental design can be applied to quantum many-body systems. (Courtesy: Leopoldo Sarra) As quantum ...

In our earlier study, we utilized a Bayesian design to probe the association of ∼1000 genes (∼10 000 single-nucleotide polymorphisms (SNPs)) with systemic lupus erythematosus (SLE) on a moderate ...

Bayesian Information Design and Mechanism Optimization is an interdisciplinary field that synthesises insights from economics, statistics, and game theory to address challenges of asymmetric ...

Cytel Inc. has launched East Bayes® , an enhanced web-based extension of the East® platform that enables adoption of the most computationally intensive Bayesian clinical trial designs – without the ...

WILMINGTON, N.C. & COLLEGE STATION, Texas--(BUSINESS WIRE)-- PPD, Inc. (Nasdaq: PPDI) and Berry Consultants, LLC today announced they have entered into a collaboration in the area of Bayesian ...