期刊： ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, ; ()
Meta-analysis is commonly used to synthesize multiple results from individual studies. However, its validation is usually threatened by publication bi......
期刊： ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, ; ()
This article studies the problem whether two convex (concave) regression functions modelling the relation between a response and covariate in two samp......
期刊： ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, ; ()
For two random vectors whose dimensions are both proportional to the sample size, we in this paper propose two ridge ratio criteria to determine the n......
期刊： ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2020; 72 (6)
Integer-valued time series models have been widely used, especially integer-valued autoregressive models and integer-valued generalized autoregressive......
期刊： ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2020; 72 (3)
Variable selection for multivariate nonparametric regression models usually involves parameterized approximation for nonparametric functions in the ob......
期刊： ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2020; 72 (3)
Estimation and hypothesis test for partial linear single-index multiplicative models are considered in this paper. To estimate unknown single-index pa......
期刊： ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2020; 72 (4)
Histogram maximum likelihood estimators of semi-parametric space-time self-exciting point process models via expectation-maximization algorithm can be......
期刊： ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2020; 72 (5)
The Bartlett correction is a desirable feature of the likelihood inference, which yields the confidence region for parameters with improved coverage p......
期刊： ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2020; 72 (1)
In this paper, we investigate the quantile varying coefficient model for longitudinal data, where the unknown nonparametric functions are approximated......
期刊： ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2020; 72 (1)
Partially linear models (PLMs) have been widely used in statistical modeling, where prior knowledge is often required on which variables have linear o......
期刊： ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2020; 72 (2)
This paper is concerned with the error density estimation in high-dimensional sparse linear model, where the number of variables may be larger than th......
期刊： ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2019; 71 (1)
We present a new, efficient maximum empirical likelihood estimator for the slope in linear regression with independent errors and covariates. The esti......
期刊： ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2019; 71 (1)
In this paper we employ the conditional probability integral transformation (CPIT) method to transform a d-dimensional sample from two classes of gene......
期刊： ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2019; 71 (2)
This paper develops a frequentist model averaging approach for threshold model specifications. The resulting estimator is proved to be asymptotically ......
期刊： ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2019; 71 (3)
In this paper, we simultaneously study variable selection and estimation problems for sparse ultra-high dimensional partially linear varying coefficie......
