Frequentist methods of inference require experimenters (and reviewers) to guard against multiple comparisons. The problem is as follows: Each test is designed to avoid give false positives only at a certain rate but this means that when many tests are used false positives become progressively more likely. 482 more words
Tags » Bayesian
Bayesian evidence synthesis and bootstrapping for trial-based economic evaluations: comfortable bed fellows?
By Mohsen Sadatsafavi and Stirling Bryan
In economic evaluation of health technologies, evidence synthesis is typically about quantification of the evidence in terms of parameters. Bootstrapping is a non-parametric inferential method in trial-based economic evaluations. 1,010 more words
The objective of this blog is to share my insights and experiences in trying to be a better Bayesian. Yes, yes, Frequenist and Bayesian analyses results should agree, provided the data is significant enough, but … c’mon, our brains are empirical based, with no prior model to explain our surroundings, and incorrect assumptions are (mostly) corrected for. 212 more words
Great news, my submission to the 24th International Workshop on Machine Learning for Signal Processing (MLSP) was recently accepted. More details on the paper, some of the exciting results it describes, a preprint, slides, etc. 315 more words