报告主题：Introduction to Gaussian Process Regression and its Application

时间：2023年5月26日13:30-14:30

地点：上川路校区五教117/腾讯会议  会议号：984 1292 8754 密码：6666

报告人：蔡昕

This talk is an introduction to Gaussian Process Regression(GPR) and its application. The key idea of GPR is that we cast the quantity of interest f as a random variable by treating f(x) as a random field. In a Bayesian framework, a prior distribution is then imposed on f, then incorporated with the observations  we can compute the posterior distribution over f. GPR is a common tool in certainty quantification and often used as a computationally inexpensive surrogate function.