Mr. Vincent Tanoe
Mr. Tanoe is a student working on his PhD degree in Computer Science and Engineering (CSE) in the School of Engineering and Applied Sciences. He is one of 6 students who passed the CSE qualifying exam and will present his proposal defense in December 2021. The title of the proposal defense is Analysis of Wind Speed Data Using Bayesian Regression, Vines Copulas and Bayesian Model Averaging. Vincent’s research will propose different methods of analysis where step-by-step implementation of both Bayesian and non-Bayesian regression models will be used to analyze high dependency dimensional modeling. He will implement copulas approach such regular, C-and D-Vine. The application of Bayesian Model Averaging will be used to analyze model uncertainty in a canonical regression model using wind speed data. High speed data will be collected from the National Renewable Energy Laboratory. Mr. Tanoe received his BS degree in Business from Felix Houphouet Biogny, Ivory Coast and a master’s degree from the University of the District of Columbia (UDC) in Applied Statistics and masters’ degree in Applied Economics from John Hopkins University. He is an adjunct professor at UDC. He has worked in the economic field as a data analyst and consultant for 6 years.