4 citations · 9 across the 15 of their papers we have counts for
8 papers · 1 filter
Nonparametric inference with massive data via grouped empirical likelihood
Yongda Wang, Shifeng Xiong
To address the computational issue in empirical likelihood methods with massive data, this paper proposes a grouped empirical likelihood (GEL) method. It divides observations i…
A unified framework of principal component analysis and factor analysis
Shifeng Xiong
Principal component analysis and factor analysis are fundamental multivariate analysis methods. In this paper a unified framework to connect them is introduced. Under a general lat…
Physical Parameter Calibration
Yang Li, Shifeng Xiong
Computer simulation models are widely used to study complex physical systems. A related fundamental topic is the inverse problem, also called calibration, which aims at learning ab…
Design and analysis of computer experiments with both numeral and distribution inputs
Chunya Li, Xiaojun Cui, Shifeng Xiong
Nowadays stochastic computer simulations with both numeral and distribution inputs are widely used to mimic complex systems which contain a great deal of uncertainty. This paper st…
Linear screening for high-dimensional computer experiments
Chunya Li, Daijun Chen, Shifeng Xiong
In this paper we propose a linear variable screening method for computer experiments when the number of input variables is larger than the number of runs. This method uses a linear…
Local optimization-based statistical inference
Shifeng Xiong
This paper introduces a local optimization-based approach to test statistical hypotheses and to construct confidence intervals. This approach can be viewed as an extension of boots…
Better subset regression
Shifeng Xiong
To find efficient screening methods for high dimensional linear regression models, this paper studies the relationship between model fitting and screening performance. Under a spar…
On best subset regression
Shifeng Xiong
In this paper we discuss the variable selection method from \ell0-norm constrained regression, which is equivalent to the problem of finding the best subset of a fixed size. Our st…