Bayesian methods have significantly enhanced the analysis of complex data structures, such as semicontinuous outcomes and zero-inflated observations, by providing coherent inferences and more ...

A new method to analyze gravitational-wave data could transform how we study some of the universe's most extreme events—black ...

Exploratory data analysis (EDA) and Bayesian inference (or, more generally, complex statistical modeling)-which are generally considered as unrelated statistical paradigms-can be particularly ...

Understanding Bayesian Inference In my practice, I find most people involved with advanced analytics, such as predictive, data science, and ML, are familiar with the name Bayes, and can even reproduce ...

Bayesian network modelling of complex systems with sparse data: Ecological case studies This thesis discusses how Bayesian networks can be used to improve data analytics in the field of environmental ...

Researchers from Nanyang Technological University have developed a novel framework that integrates worker self-reportsaZ with ...

When estimating DSGE models, the number of observable economic variables is usually kept small, and it is conveniently assumed that DSGE model variables are perfectly measured by a single data series.

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

This paper presents a Bayesian analysis of shape, scale, and mean of the two-parameter gamma distribution. Attention is given to conjugate and "non-informative" priors, to simplifications of the ...