A three-step model checking workflow has the potential to revolutionize how researchers evaluate the suitability of their statistical models for specific datasets. Developed by KAUST, the workflow is ...

Carbon capture and storage (CCS) project sanctioning requires reasonable estimates of CO 2 storage volume and plume migration in the reservoir. Numerical simulation based on geological data provides ...

Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...

Statistical modeling continues to deliver distinct value to businesses both independent of, and in concert with, machine learning. “Artificial intelligence” (AI) and “machine learning” are among the ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

As we enter a world of machine learning and data science, are there any gotchas or negatives? It sounds as if it is all sunshine and rainbows, but, as the title to this post alludes, I believe there ...