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stat.CO2021
Unadjusted Langevin algorithm for non-convex weakly smooth potentials
Dao Nguyen, Xin Dang, Yixin Chen
Discretization of continuous-time diffusion processes is a widely recognized method for sampling. However, the canonical Euler Maruyama discretization of the Langevin diffusion pro…
stat.CO2020
Black-box sampling for weakly smooth Langevin Monte Carlo using p-generalized Gaussian smoothing
Anh Duc Doan, Xin Dang, Dao Nguyen
Discretization of continuous-time diffusion processes is a widely recognized method for sampling. However, the canonical Euler-Maruyama discretization of the Langevin diffusion pro…
stat.CO2018
Simulation-based inference methods for partially observed Markov model via the R package is2
Duc Anh Doan, Dao Nguyen, Xin Dang
Partially observed Markov process (POMP) models are powerful tools for time series modeling and analysis. Inherited the flexible framework of R package pomp, the is2 package extend…