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Non-convex weakly smooth Langevin Monte Carlo using regularization
Discretization of continuous-time diffusion processes is a widely recogn...
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Weakly smooth Langevin Monte Carlo using p-generalized Gaussian smoothing
Langevin Monte Carlo (LMC) is an iterative process for sampling from a d...
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Empirical Likelihood Test for Diagonal Symmetry
Energy distance is a statistical distance between the distributions of r...
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Jackknife Empirical Likelihood Approach for K-sample Tests
The categorical Gini correlation is an alternative measure of dependence...
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Depth-based Weighted Jackknife Empirical Likelihood for Non-smooth U-structure Equations
In many applications, parameters of interest are estimated by solving so...
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Estimating Feature-Label Dependence Using Gini Distance Statistics
Identifying statistical dependence between the features and the label is...
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On mutual information estimation for mixed-pair random variables
We study the mutual information estimation for mixed-pair random variabl...
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Simulation-based inference methods for partially observed Markov model via the R package is2
Partially observed Markov process (POMP) models are powerful tools for t...
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A new Gini correlation between quantitative and qualitative variables
We propose a new Gini correlation to measure dependence between a catego...
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Robust and Efficient Boosting Method using the Conditional Risk
Well-known for its simplicity and effectiveness in classification, AdaBo...
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Jackknife Empirical Likelihood Methods for Gini Correlations and their Equality Testing
The Gini correlation plays an important role in measuring dependence of ...
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A rank-based Cramér-von-Mises-type test for two samples
We study a rank based univariate two-sample distribution-free test. The ...
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