Mr. Chixiang Chen, a Penn State PhD in biostatistics student, has been selected as a winner of the Best Student Paper Award presented by The American Statistical Association’s (ASA) Section on Nonparametric Statistics. The award will be presented to Mr. Chen during this year’s Joint Statistical Meeting (JSM) on July 27 – August 1 in Denver.
Mr. Chen, who is co-advised by Dr. Ming Wang and Dr. Rongling Wu at the Penn State College of Medicine, is one of three recipients of this year’s award. As an awardee, he will give a nonparametric statistics presentation, A Novel Consistent Information Criterion for Model Selection based on Empirical Likelihood, during the event.
In order to be considered for this ASA award, a student’s paper must describe the following: a research problem, the significance and background of the research, the research design and/or mathematical techniques employed, the results or anticipated results, and the conclusions. In addition, entries must contain statistical theory, methodology, or application classifiable as nonparametric or semiparametric. There were 28 entries this year, and students’ work was rated based on the significance of the research problem, the quality of exposition, and the execution.
In Mr. Chen’s paper, a robust and broadly applicable information criterion is proposed for model selection. This new method is free of distribution assumptions and has the potential be more flexible in handling complicated data, which is increasingly more available due to advances in data collection techniques and plays a critical role in capturing fundamental principles underlying natural, social, and engineering.
At the upcoming event in Denver, Mr. Chen will be joined by more than 6,500 attendees from 52 countries.Tags: Friday Letter Submission