A Novel Approach for Parameter Estimation of Mixture oftwo Weibull Distributions in Failure Data Modeling
Forest-based Approaches for SDR
Robust Distributed Learning under Least Squares Approximation
On weak convergence of quantile-based empirical likelihood process for ROC curves
Confidence Intervals for Finite Mixture Regression Based on Resampling Techniques
rHMM: A New Regularized Algorithm-based Hidden Markov Model for High-dimensional Longitudinal Data Analysis
Clustering for ranking multivariate data by Linear Ordered Partitions
A mixture of experts regression model for functional response with functional covariates
A new p-value based multiple testing procedure for generalized linear models
Shrinkage for Extreme Partial Least-Squares