期刊： INTERNATIONAL STATISTICAL REVIEW, 2020; 88 (1)
We consider least squares method for partially linear models based on polynomial splines. We derive the asymptotic property for the estimator, focusin......
期刊： INTERNATIONAL STATISTICAL REVIEW, 0; ()
Mixture regression models have been widely used in business, marketing and social sciences to model mixed regression relationships arising from a clus......
期刊： INTERNATIONAL STATISTICAL REVIEW, 2019; 87 ()
This paper provides an overview on two parallel approaches to design-based inference with complex survey data: the pseudo empirical likelihood methods......
期刊： INTERNATIONAL STATISTICAL REVIEW, 2019; 87 ()
Estimation with longitudinal Y having nonignorable dropout is considered when the joint distribution of Y and covariate X is nonparametric and the dro......
期刊： INTERNATIONAL STATISTICAL REVIEW, 2019; 87 ()
In analysing big data for finite population inference, it is critical to adjust for the selection bias in the big data. In this paper, we propose two ......
期刊： INTERNATIONAL STATISTICAL REVIEW, 2019; 87 ()
Sample surveys are widely used to obtain information about totals, means, medians and other parameters of finite populations. In many applications, si......
期刊： INTERNATIONAL STATISTICAL REVIEW, 0; ()
Estimating time-varying covariance matrices of the vector of interest is challenging both computationally and statistically due to a large number of c......
期刊： INTERNATIONAL STATISTICAL REVIEW, 2017; 85 (2)
This paper introduces a simple method to construct a stationary process on the real line with a Polya-type covariance function and with any infinitely......
