论文标题
非SPARSE Logistic回归模型的单参数推理
Single Parameter Inference of Non-sparse Logistic Regression Models
论文作者
论文摘要
本文在非Sparse Logistic回归模型中注入一个参数。通过将无效假设转换为矩情况,我们构建了测试统计量并获得渐近无效分布。数值实验表明我们的方法表现良好。
This paper infers a single parameter in non-sparse logistic regression models. By transforming the null hypothesis into a moment condition, we construct the test statistic and obtain the asymptotic null distribution. Numerical experiments show that our method performs well.