2 citations · 7 across the 7 of their papers we have counts for
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stat.AP2020
An Augmented Regression Model for Tensors with Missing Values
Feng Wang, Mostafa Reisi Gahrooei, Zhen Zhong +2
Heterogeneous but complementary sources of data provide an unprecedented opportunity for developing accurate statistical models of systems. Although the existing methods have shown…
stat.AP2019★ 1 cited
Effective Model Calibration via Sensible Variable Identification and Adjustment, with Application to Composite Fuselage Simulation
Yan Wang, Xiaowei Yue, Rui Tuo +2
Estimation of model parameters of computer simulators, also known as calibration, is an important topic in many engineering applications. In this paper, we consider the calibration…
stat.AP2019★ 1 cited
High Dimensional Process Monitoring Using Robust Sparse Probabilistic Principal Component Analysis
Mohammad Nabhan, Yajun Mei, Jianjun Shi
High dimensional data has introduced challenges that are difficult to address when attempting to implement classical approaches of statistical process control. This has made it a t…