Speaker：Jianwei Chen (San Diego State University)

Time：2023-8-4, 10:00

Location：Conference Room 105 at Experiment Building at Haiyun Campus

Abstract:

This talk introduces Probit model in non-parametric space and Probit model in semi-parametric space, and focuses on the estimation method of the model. Spline approximation is carried out for the non-parametric part of the model, and the posterior probability of each parameter of the model is calculated by using Bayesian method after expanding the spline function. Numerical simulation is carried out by MCMC to verify the estimation effect of the model. The results show that the method has good fitting effect and high accuracy. An empirical analysis of the proposed model is performed, using regression spline and Bayesian method to estimate the parameters of the model.