Slightly elevated mortality in nonagenarians highlights the need for individualized ICU care guided by more than age.

(1) Bayesian statistics offer an alternative framework for data interpretation that provides the probability of a hypothesized treatment effect utilizing all available data. As Bayes´s approach ...

Joint factor analysis (JFA) is a recently developed method to model speaker and session variability in Gaussian Mixture Models (GMMs). In this paper, both batch and sequential Bayesian analysis of JFA ...

In recent years Bayesian approaches to data analysis have become powerful alternatives to classical frequentist approaches (12 – 14), including for some types of neuroscience data: such as ...

Bayesian Approaches to Testing a Point ("Null") Hypothesis Suppose that you have collected some data, and now you want to answer the question, Is there a non-zero effect or not? Is the coin fair or ...

Additionally, Bayesian analysis produces posterior probabilities that represent your updated beliefs after seeing the data which can be confusing, misleading, or misinterpreted if you do not ...

This Bayesian approach is illustrated using two examples from neurolinguistics and its properties are explored using simulated data. We suggest that the Bayesian approach is more descriptive than ...

Bayesian persuasion is an idea only a little more than a decade old that’s being used to study phenomena as varied as advertising, the law, bond ratings and parking enforcement.

The Bayesian approach is used to analyze the data and update the beliefs based on data. The unique features of this analysis include an ability to incorporate prior information into the analysis. The ...

Recently, there has been an increased interest in developing statistical methodologies for analyzing single case experimental design (SCED) data to supplement visual analysis. Some of these are ...