2022년 봄학기 세미나

2022년 봄학기 연구실 세미나를 진행하였습니다.

• 3/30 영상 시청 : Bayesian inference using estimating equations via empirical likelihood(Howard Bondell)
• 4/15 오정훈 : The Frequentist Viewpoint and Conditioning
• 4/27 김성민 : Bayesian Quantile Regression Based on the Empirical Likelihood with Spike and Slab Priors
• 4/27 이재귀 : A Review of Empirical Likelihood
• 5/11 장태영 : Supporting Vector Machines and Dual Problem
• 5/11 이경원 : Exchangeability and de Finetti’s Theorem
• 5/25 정진욱 : Quasi-Monte Carlo Quasi-Newton for variational Bayes
• 6/22 박수원 : Uncertainty Quantification in Bayesian Neural Net : Application