64 citations · 192 across the 29 of their papers we have counts for
Showing 2019 · stat.COShow all
2 papers · 2 filters
stat.CO2019★ 1 cited
Monte Carlo Approximation of Bayes Factors via Mixing with Surrogate Distributions
Chenguang Dai, Jun S. Liu
By mixing the target posterior distribution with a surrogate distribution, of which the normalizing constant is tractable, we propose a method for estimating the marginal likelihoo…
stat.CO2019★ 7 cited
The Wang-Landau Algorithm as Stochastic Optimization and Its Acceleration
Chenguang Dai, Jun S. Liu
We show that the Wang-Landau algorithm can be formulated as a stochastic gradient descent algorithm minimizing a smooth and convex objective function, of which the gradient is esti…