Researchers have introduced new dimension and model reduction methods that extend optimal Bayesian inference to problems with ...
Researchers have developed an importance-sampling-based black box variational inference algorithm that reuses earlier ...
This Primer examines Skilling’s nested sampling algorithm for Bayesian inference and, more broadly, multidimensional integration. The principles of nested sampling are summarize ...
How can the component elements of an unknown material, such as a meteorite, be determined? X-ray fluorescence analysis can be used to identify an abundance of elements, by irradiating samples with ...
A research team at Tohoku University's Advanced Institute for Materials Research (WPI-AIMR) has developed a new technique to rapidly and accurately determine the charge state of electrons confined in ...
Probabilities that created rebels, hidden signatures, unrecorded drivers, inbox gatekeepers, and those who predict the ...
Despite the mounting demand for generative population models, their limited generalizability to underrepresented demographic groups hinders widespread adoption in ...
This paper develops new econometric methods to infer hospital quality in a model with discrete dependent variables and non-random selection. Mortality rates in patient discharge records are widely ...
How can the component elements of an unknown material, such as a meteorite, be determined? X-ray fluorescence analysis can be used to identify an abundance of elements, by irradiating samples with ...
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