We study flexible Bayesian methods that are amenable to a wide range of learning problems involving complex high dimensional data structures, with minimal tuning. We consider parametric and semiparametric Bayesian models, that are applicable to both static and dynamic data, arising from a multitude of areas such as economics, finance and…

This study addressed CPA perceptions about the need for human skill competencies as professional development. The problem was identified as the undetermined assessment of state level CPA perceptions about human skill competencies as developmental needs. CPAs and education providers may be impacted by this problem. The purpose of this study was to…

The focus of this study was to answer the following overarching question: How does a Twitter discussion format compare to a Facebook discussion format in terms of promoting collaborative argumentative discourse? Data analysis focused on the difference in amount of arguments, counter-arguments, reasons, and elaborations generated by participants…