4 citations · 9 across the 15 of their papers we have counts for
5 papers · 1 filter
Discretization approximation: An alternative to Monte Carlo in Bayesian computation
Shifeng Xiong
In this paper we propose a new deterministic approximation method, called discretization approximation, for Bayesian computation. Discretization approximation is very simple to und…
Unweighted estimation based on optimal sample under measurement constraints
Jing Wang, HaiYing Wang, Shifeng Xiong
To tackle massive data, subsampling is a practical approach to select the more informative data points. However, when responses are expensive to measure, developing efficient subsa…
Personalized Optimization for Computer Experiments with Environmental Inputs
Shifeng Xiong
Optimization problems with both control variables and environmental variables arise in many fields. This paper introduces a framework of personalized optimization to han- dle such…
Comparisons of penalized least squares methods by simulations
Ke Zhang, Fan Yin, Shifeng Xiong
Penalized least squares methods are commonly used for simultaneous estimation and variable selection in high-dimensional linear models. In this paper we compare several prevailing…
OEM for least squares problems
Shifeng Xiong, Bin Dai, Peter Z. G. Qian
We propose an algorithm, called OEM (a.k.a. orthogonalizing EM), intended for var- ious least squares problems. The first step, named active orthogonization, orthogonalizes an arbi…