1 citations · 2 across the 3 of their papers we have counts for
6 papers · 1 filter
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…
A new Gini correlation between quantitative and qualitative variables
Xin Dang, Dao Nguyen, Yixin Chen +1
We propose a new Gini correlation to measure dependence between a categorical and numerical variables. Analogous to Pearson in ANOVA model, the Gini correlation is interprete…
Robust and Efficient Boosting Method using the Conditional Risk
Zhi Xiao, Zhe Luo, Bo Zhong +1
Well-known for its simplicity and effectiveness in classification, AdaBoost, however, suffers from overfitting when class-conditional distributions have significant overlap. Moreov…
Jackknife Empirical Likelihood Methods for Gini Correlations and their Equality Testing
Yongli Sang, Xin Dang, Yichuan Zhao
The Gini correlation plays an important role in measuring dependence of random variables with heavy tailed distributions, whose properties are a mixture of Pearson's and Spearman's…
A rank-based Cramér-von-Mises-type test for two samples
Jamye Curry, Xin Dang, Hailin Sang
We study a rank based univariate two-sample distribution-free test. The test statistic is the difference between the average of between-group rank distances and the average of with…