Bayesian estimation supersedes the t test.

Bayesian estimation supersedes the t test.

Bayesian estimation for 2 groups provides complete distributions of credible values for the effect size, group means and their difference, standard deviations and their difference, and the normality of the data. The method handles outliers. The decision rule can accept the null value (unlike traditional t tests) when certainty in the estimate is high (unlike Bayesian model comparison using Baye...

Bayesian Estimation Supersedes the t-Test

The BEST package provides a Bayesian alternative to a t test, providing much richer information about the samples and the difference in means than a simple p value. Bayesian estimation for two groups provides complete distributions of credible values for the effect size, group means and their difference, standard deviations and their difference, and the normality of the data. For a single group...

Bayesian Estimation of Parameters in the Exponentiated Gumbel Distribution

Abstract: The Exponentiated Gumbel (EG) distribution has been proposed to capture some aspects of the data that the Gumbel distribution fails to specify. In this paper, we estimate the EG's parameters in the Bayesian framework. We consider a 2-level hierarchical structure for prior distribution. As the posterior distributions do not admit a closed form, we do an approximated inference by using ...

Constitutive Activation of STAT5 Supersedes

Bayesian Motion Estimation and Segmentation Bayesian Motion Estimation and Segmentation

Estimating motion in scenes containing multiple moving objects remains a diicult problem in computer vision yet is solved eeortlessly by humans. In this thesis we present a computational investigation of this astonishing performance in human vision. The method we use throughout is to formulate a small number of assumptions and see the extent to which the optimal interpretation given these assum...