Du Bois’ pioneering work in data visualization remains highly relevant today as data literacy becomes increasingly essential ...

The prevalence of SVAC is extremely high for both females and males across the globe. Given data sparsity and ongoing ...

Tuberculosis is the world's deadliest infectious disease, due in part to its ability to hide out for years in the lungs ...

Despite substantial advancements in the management of cardiogenic shock, mortality rates remain greater than 40%. Trials have ...

Rodriguez A team from The University of Iowa, led by Dr. Felix Pabon-Rodriguez, developed a Bayesian joint model to study Leishmania infection progression.

A research team has developed a new technique to rapidly and accurately determine the charge state of electrons confined in semiconductor quantum dots -- fundamental components of quantum computing ...

To address these gaps, this study introduces a Bayesian statistical approach to handle preventive maintenance challenges. The system’s deterioration is modeled using Non-Homogeneous Poisson processes ...

Flexible Statistics Data Analysis Toolbox™ software includes functions and interactive tools for analyzing and modeling data, learning and teaching statistics. The Flexible Statistics Data Analysis ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

The prior probabilities of root nodes in a Bayesian network refer to the probabilities derived from historical statistical data or expert experience analysis. The prior probabilities of root nodes are ...

To assess fertility trends, researchers analyzed data from the U.S. Department of Agriculture National Agricultural Statistics Service from 2013 to 2022. Their analysis revealed significant ...

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