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Statistics graduate students present posters at ND EPSCoR/IDeA conference

Statistics faculty Yarong Yang, assistant professor, and Tatjana Miljkovic, assistant professor of practice, attended the recent North Dakota Program to Stimulate Competitive Research/Institutional Development Award, known as ND EPSCoR/IDeA, conference, where their graduate students presented projects in area of bioinformatics and actuarial science. The conference was April 29 in Grand Forks, North Dakota.

Joshua Hugen and Michael Hoffman presented a project on “Modeling Danish fire losses using mixture model.” Taryn Chase and Peter Martin presented a project on “Modeling IBNR loss triangles using stochastic Bayesian method.” Qi Wang presented a project, “Using Imputed MicroRNA Regulation based on weighted ranked expression and putative MicroRNA targets to select MicroRNAs for predicting prostate cancer recurrence.” Christopher McEwen presented a project on “Utilizing the Local Outlier Factor algorithm as a refinement tool for classification models.” 

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Last Updated: Tuesday, August 01, 2023 11:27:59 AM
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