Statistics and Its Interface

Double sparsity kernel learning with automatic variable selection and data extraction

Discussion on “Double sparsity kernel learning with automatic variable selection and data extraction”

Discussion on “Double sparsity kernel learning with automatic variable selection and data extraction”

Discussion on “Doubly sparsity kernel learning with automatic variable selection and data extraction”

Rejoinder of “Double sparsity kernel learning with automatic variable selection and data extraction”

A note on estimating network dependence in a discrete choice model

Discovering stock chart patterns by statistical estimation and inference

Response-adaptive randomization using power function of hypothesis testing

A new copula model-based method for regression analysis of dependent current status data

Robust model-free feature screening based on modified Hoeffding measure for ultra-high dimensional data

Testing the zonal stationarity of spatial point processes: applied to prostate tissues and trees locations

Interpretable selection and visualization of features and interactions using Bayesian forests

Exploring generative perspective of convolutional neural networks by learning random field models

A unified semi-empirical likelihood ratio confidence interval for treatment effects in the two sample problem with length-biased data

Handling heterogeneity among units in quantile regression. Investigating the impact of students’ features on University outcome