22 citations · 22 across the 5 of their papers we have counts for
5 papers
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections
Jiaxin Shi, Xuening Zhu, Jing Zhou +2
We study one particular type of multivariate spatial autoregression (MSAR) model with diverging dimensions in both responses and covariates. This makes the usual MSAR models no lon…
Gaussian Mixture Model with Rare Events
Xuetong Li, Jing Zhou, Hansheng Wang
We study here a Gaussian Mixture Model (GMM) with rare events data. In this case, the commonly used Expectation-Maximization (EM) algorithm exhibits extremely slow numerical conver…
A Semiparametric Gaussian Mixture Model for Chest CT-based 3D Blood Vessel Reconstruction
Qianhan Zeng, Jing Zhou, Ying Ji +1
Computed tomography (CT) has been a powerful diagnostic tool since its emergence in the 1970s. Using CT data, three-dimensional (3D) structures of human internal organs and tissues…
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques
Xuetong Li, Yuan Gao, Hong Chang +11
This paper presents a selective review of statistical computation methods for massive data analysis. A huge amount of statistical methods for massive data computation have been rap…
Embedding Compression for Text Classification Using Dictionary Screening
Jing Zhou, Xinru Jing, Muyu Liu +1
In this paper, we propose a dictionary screening method for embedding compression in text classification tasks. The key purpose of this method is to evaluate the importance of each…