Abstract: There has been a dramatic increase in the quantity of sensory input, which is enormous and diversified in structure, due to the adoption of smart gadgets and sensors to track healthcare ...

If the FDA follows through with the proposed guidelines, and they are not fatally twisted by pressure from the medical ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

The US Food and Drug Administration (FDA) is now “open to bayesian statistics,” contrasting this with the frequentist approach that the agency and the drug industry have historically relied on for ...

Implementation of "Bayesian Fama-MacBeth Regressions" from Bryzgalova, Huang and Julliard (2024). As presented by the authors, this methodology provides reliable risk premia estimates for both ...