In the 20th-century statistics wars, Bayesians were underdogs. Now their methods may help speed treatments to market.

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

Abstract: Reliability analysis for structural systems relies on an accurate surrogate model. Currently, several multiple Kriging methods are utilized to calculate the failure probability. However, ...

However, traditional clinical trial designs are often ill-suited for rare disease research with common challenges including ...

Abstract: This paper proposes a Bayesian neural network method for predicting equipment operational trends based on a channel attention mechanism. Traditional time series prediction methods have ...

The Texas Method has a big reputation, and for good reason. But, before going full steam ahead into the protocol, its important to note that it is pretty relentless, even for those with a good number ...