Quan Zhou
Biography
Talk Title
Complexity Analysis of Informed MCMC Methods for High-dimensional Model Selection Problems
Complexity Analysis of Informed MCMC Methods for High-dimensional Model Selection Problems
Snake Algorithm: A Rejection-Free Sampler for Binary Matrices with Fixed Margins
SimTools: Variability Assessment for Simulation Methods in R
Bayesian Finite Mixture Models for Regression with Cluster-Specific Variable Selection
Some Variations of Riemannian manifold HMC, MALA, and Lagrangian Monte Carlo
Beyond Asymptotically Efficient Markov Chains
Asynchronous and Distributed Data Augmentation for Massive Data Settings
Data Augmentation MCMC for Bayesian Inference from Privatized Data
MCMC with Multiple Proposals
Sampling with Langevin Monte Carlo: Recent Progress