All graduate students seeking their MS degrees are encouraged to fulfill 2 s.h. of STAT:6990, engaging in a project that aligns with their application and career interests. Typically, students register for two consecutive 1 s.h. enrollments in STAT:6990 during the fall and spring semesters of the second year. However, this can also be pursued one or two semesters earlier, based on the student’s readiness and motivation. Before enrolling in STAT:6990, each student is responsible for securing a faculty member who agrees to serve as their advisor for the project.
The project entails writing an 8-15 page report on a suitable topic and then presented orally in a public seminar. A faculty committee, in consultation with the advisor, evaluates the work and the presentation, and assigns a grade of satisfactory or unsatisfactory.
Starting at 1:50 p.m. in 177 Schaeffer Hall:
| 1:50 | Lyle Paukner | An Exploration of Tensor-on-tensor Regression |
2:10 | Yiran Zeng | A multi-predictor extension of the transformation-free composition-on-composition linear regression |
2:30 | Jinwei Yao | Transfer Learning based on Multi-outputs Stochastic Kriging |
2:50 | Ying Xiang | Analysis of Elevated Machine Learning Model Accuracy Due to Neglecting Batch Effects in Data Splitting |
3:10 | Emilia Thedens | Envelope Model Based Calibration |
3:30 | Payel Ghosal | Online Bayesian Variable Selection in Logistic Regression for High-dimensional Streaming Data |