output
20112026
most citedA Comprehensive Survey on Deep Graph Representation Learning

337 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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5 papers · 1 filter

stat.ME2024★ 22 cited

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…

stat.ME2022★ 13 cited

A Study on the Power Parameter in Power Prior Bayesian Analysis

Zifei Han, Keying Ye, Min Wang

The power prior and its variations have been proven to be a useful class of informative priors in Bayesian inference due to their flexibility in incorporating the historical inform…

stat.ME2022★ 1 cited

Approximate Reference Prior for Gaussian Random Fields

Victor De Oliveira, Zifei Han

Reference priors are theoretically attractive for the analysis of geostatistical data since they enable automatic Bayesian analysis and have desirable Bayesian and frequentist prop…

stat.ME2020

Breakdown points of penalized and hybrid M-estimators of covariance

David E. Tyler, Mengxi Yi

We introduce a class of hybrid M-estimators of multivariate scatter which, analogous to the popular spatial sign covariance matrix (SSCM), possess high breakdown points. We also sh…

stat.ME2018★ 11 cited

Empirical-likelihood-based criteria for model selection on marginal analysis of longitudinal data with dropout missingness

Chixiang Chen, Biyi Shen, Lijun Zhang +2

Longitudinal data are common in clinical trials and observational studies, where missing outcomes due to dropouts are always encountered. Under such context with the assumption of…