We describe computationally efficient methods for Bayesian model selection. The methods select among mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs), ...
In the current climate, generic and expensive programs to promote diversity, equity, and inclusion—for example, trainings—are increasingly falling out of favor. In fact, most of the existing research ...
It is frequently desirable to display the results of computation in a graphical form. This is often done through the use of special hardware such as digital X,Y-plotters. Programmed graphical output ...
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In previous posts I shared here and elsewhere, I discussed both qualitative research and quantitative research and in this post, I talk about mixed methods research. I also created an illustrative ...
Sue Porterfield, who previously spent 20 years at Johns Hopkins University before departing in 2023 to become vice president of research at Kean University in New Jersey, will return to Johns Hopkins ...
State Grid Chaoyang Electric Power Supply Company, Chaoyang, Liaoning, China Aiming at the problem that it is difficult to predict the future operating state of the transformer, this paper proposes a ...
The Trump administration’s recent proposal to cap grant funding from the National Institutes of Health has been met with widespread concern, particularly from research institutions like Tulane ...
In this paper, mixed methods research is presented and discussed in the context of research on reflective writing for the professional development of pre-service teachers. First, we present prominent ...
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