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 ...

Two Bayesian clinical trial designs that perform subgroup-specific decision making and inference based on elicited utilities of patient outcomes are reviewed. The first is a randomized comparative ...

The Simon two-stage minimax design is a popular statistical design used in Phase II clinical trials. The analysis of the data arising from the design typically involves the use of frequentist ...

This is a preview. Log in through your library . Abstract The Bayesian theory of optimal experimental design for the normal linear model has been developed under the assumption of known variance. The ...

Evaluation of the HER/PI3K/AKT Family Signaling Network as a Predictive Biomarker of Pathologic Complete Response for Patients With Breast Cancer Treated With Neratinib in the I-SPY 2 TRIAL BaSyc is ...

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 ...

Notice that the best design was found in three tries out of ten. It may be a good idea to repeat the search with more tries (see the ITER= option.) You can use the ALIASING option of the GLM procedure ...

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

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 ...

In this example, 27 openings were optimized using 17 planar samplers for a total of 44 optimization parameters. Sky lighting is set for office hours for the summer-fall seasons in Capetown. Accurate ...

“On this classic ID The Future out of the archive, Dr. Jonathan McLatchie gives us a beginner’s guide to Bayesian thinking and teaches us how it can be used to build a strong cumulative case for ...