[PAST EVENT] Honors Thesis Defense: Yujing Zheng
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Honors Thesis Defense: Yujing Zheng
Adviser: GuanNan Wang
Spatial Analysis with Applications to Real Estate Market Prediction
An accurate prediction to the housing prices is very important to all the real estate market participants: homeowners, mortgage lenders, land agents, investors, real estate appraisers, and insurers. Regression analysis is the most widely used modeling technique to determine the relativeness and strength of the relationship between response variable and explanatory variables. In this project, we focus on the comparison of different regression methods, including ordinary least square method, penalized least square, univariate smoothing techniques and bivariate smoothing techniques, for predicting the real estate market.