55 citations · 81 across the 15 of their papers we have counts for
15 papers
Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition
Ziqian Lin, Danyang Huang, Ziyu Xiong +1
In the flourishing live streaming industry, accurate recognition of streamers' emotions has become a critical research focus, with profound implications for audience engagement and…
Profiled Transfer Learning for High Dimensional Linear Model
Ziqian Lin, Junlong Zhao, Fang Wang +1
We develop here a novel transfer learning methodology called Profiled Transfer Learning (PTL). The method is based on the \textit{approximate-linear} assumption between the source…
A Latent Factor Model for High-Dimensional Binary Data
Jiaxin Shi, Yuan Gao, Rui Pan +1
In this study, we develop a latent factor model for analysing high-dimensional binary data. Specifically, a standard probit model is used to describe the regression relationship be…
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…
CluBear: A Subsampling Package for Interactive Statistical Analysis with Massive Data on A Single Machine
Ke Xu, Yingqiu Zhu, Yijing Liu +1
This article introduces CluBear, a Python-based open-source package for interactive massive data analysis. The key feature of CluBear is that it enables users to conduct convenient…
Large-scale Multi-layer Academic Networks Derived from Statistical Publications
Tianchen Gao, Yan Zhang, Rui Pan +1
The utilization of multi-layer network structures now enables the explanation of complex systems in nature from multiple perspectives. Multi-layer academic networks capture diverse…