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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 ...
Longitudinal data analysis is an essential statistical approach for studying phenomena observed repeatedly over time, allowing researchers to explore both within-subject and between-subject variations ...
Research on income risk typically treats its proxy—income volatility, the expected magnitude of income changes—as if it were unchanged for an individual over time, the same for everyone at a point in ...
Why does humanity live on a planet orbiting a rare G-type dwarf star (like our Sun) when M-type red dwarfs comprise 82% of ...
Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 76, No. 5 (NOVEMBER 2014), pp. 833-859 (27 pages) The choice of the summary statistics that are used in Bayesian ...
Oil spills can be among the most devastating environmental disasters, with the potential to severely damage marine ecosystems, disrupt coastal communities, and impose lasting economic damage.
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