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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 ...
Machine Learning gets all the marketing hype, but are we overlooking Bayesian Networks? Here's a deeper look at why "Bayes Nets" are underrated - especially when it comes to addressing probability and ...
Although it is common practice to fit a complex Bayesian model using Markov chain Monte Carlo (MCMC) methods, we provide an alternative sampling-based method to fit a two-stage hierarchical model in ...
In multiple quantitative trait locus (QTL) mapping, a high-dimensional sparse regression model is usually employed to account for possible multiple linked QTLs. The QTL model may include closely ...
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