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 ...
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Advancing disease research with AI and Bayesian modeling at UT Arlington
Artificial intelligence can solve problems at remarkable speed, but it's the people developing the algorithms who are truly ...
Dr. Wang, who also serves as the founding director for research in the Division of Data Science, is leading efforts to create ...
This book, “Statistical Modeling and Computation,” provides a unique introduction to modern statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of ...
A U.S. Supreme Court decision expected to potentially change (or at least clarify) the rules on the hot-button issue of statistical modeling in class actions ended up turning much more on case law ...
Information on Earth's biodiversity is increasingly collected using DNA-, image- and audio-based sampling. At the same time, ...
Motivated by the problems of analyzing protein backbones, diffusion tensor magnetic resonance imaging (DT-MRI) fiber tracts in the human brain, and other problems involving curves, in this study we ...
Throughout the years I have worked in credit and collections, either doing credit analysis related to commercial lending decisions or identifying the elements that should be weighed when reviewing ...
In a recent article published in the eLife Journal, researchers launched a possum excreta surveillance program across 350 km 2 in the Mornington Peninsula near South Melbourne, Australia. The study ...
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