1 citations · 1 across the 2 of their papers we have counts for
7 papers
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…
Empirical Likelihood Test for Diagonal Symmetry
Yongli Sang, Xin Dang
Energy distance is a statistical distance between the distributions of random variables, which characterizes the equality of the distributions. Utilizing the energy distance, we de…
Jackknife Empirical Likelihood Approach for K-sample Tests
Yongli Sang, Xin Dang, Yichuan Zhao
The categorical Gini correlation is an alternative measure of dependence between a categorical and numerical variables, which characterizes the independence of the variables. A non…
Depth-based Weighted Jackknife Empirical Likelihood for Non-smooth U-structure Equations
Yongli Sang, Xin Dang, Yichuan Zhao
In many applications, parameters of interest are estimated by solving some non-smooth estimating equations with -statistic structure. Jackknife empirical likelihood (JEL) approa…
On mutual information estimation for mixed-pair random variables
Aleksandr Beknazaryan, Xin Dang, Hailin Sang
We study the mutual information estimation for mixed-pair random variables. One random variable is discrete and the other one is continuous. We develop a kernel method to estimate…
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…