1 paper for “Uncertainty and source dependence”

Bayesian evidence and model selection

Kevin H. Knuth, Michael Habeck, Nabin K. Malakar, Asim M. Mubeen, Ben Placek. knuthlab.org. June 29, 2015.

Knuth and colleagues explain Bayesian evidence, prior-sensitive model comparison and approximate estimation. Their examples show how assumptions, dependent observations and numerical uncertainty affect apparent model winners. The paper provides methods context for evaluating claims; its sensor example overlaps an earlier study and supplies no independent UAP observations.