Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, Canada Computational convenience has led to widespread use of Bayesian inference with vague or flat priors to analyze statistical models in ecology. Vague priors are claimed to be objective and to “let the data speak.” However, statisticians have long disputed these claims and have criticized the use of vague
![Consequences of Lack of Parameterization Invariance of Non-informative Bayesian Analysis for Wildlife Management: Survival of San Joaquin Kit Fox and Declines in Amphibian Populations](https://cdn-ak-scissors.b.st-hatena.com/image/square/e29055f725aad0a9aee2636393e96b6865ce0057/height=288;version=1;width=512/https%3A%2F%2Fwww.frontiersin.org%2Ffiles%2FMyHome%2520Article%2520Library%2F459691%2F459691_Thumb_400.jpg)