文章名稱引用次數

• Pseudo likelihood estimation for the additive hazards model with data subject to left-truncation and right-censoring5
• Recursive density estimators based on Robbins-Monro's scheme and using Bernstein polynomials4
• Estimation and variable selection in generalized partially nonlinear models with nonignorable missing responses4
• Penalized weighted least absolute deviation regression3
• Modelling time series of counts with deflation or inflation of zeros3
• Predicting human-driving behavior to help driverless vehicles drive: random intercept Bayesian additive regression trees3
• Time-varying copula models for longitudinal data2
• Bayesian inference on multivariate-t nonlinear mixed-effects models for multiple longitudinal data with missing values2
• Double sparsity kernel learning with automatic variable selection and data extraction2
• Handling heterogeneity among units in quantile regression. Investigating the impact of students' features on University outcome2