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06/08/2023
Subject clustering by IF-PCA and several recent methods
Subject clustering (i.e., the use of measured features to cluster subjec...
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03/09/2023
Phase transition for detecting a small community in a large network
How to detect a small community in a large network is an interesting pro...
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01/03/2023
Testing High-dimensional Multinomials with Applications to Text Analysis
Motivated by applications in text mining and discrete distribution infer...
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04/26/2022
Optimal Network Membership Estimation Under Severe Degree Heterogeneity
Real networks often have severe degree heterogeneity. We are interested ...
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04/24/2022
Co-citation and Co-authorship Networks of Statisticians
We collected and cleaned a large data set on publications in statistics....
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04/23/2022
Power Enhancement and Phase Transitions for Global Testing of the Mixed Membership Stochastic Block Model
The mixed-membership stochastic block model (MMSBM) is a common model fo...
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04/23/2022
The SCORE normalization, especially for highly heterogeneous network and text data
SCORE was introduced as a spectral approach to network community detecti...
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03/28/2022
A Comparison of Hamming Errors of Representative Variable Selection Methods
Lasso is a celebrated method for variable selection in linear models, bu...
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10/08/2021
Allocation of COVID-19 Testing Budget on a Commute Network of Counties
The screening testing is an effective tool to control the early spread o...
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10/16/2020
Power of FDR Control Methods: The Impact of Ranking Algorithm, Tampered Design, and Symmetric Statistic
As the power of FDR control methods for high-dimensional variable select...
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09/19/2020
Estimating the number of communities by Stepwise Goodness-of-fit
Given a symmetric network with n nodes, how to estimate the number of co...
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07/15/2020
Measurement error models: from nonparametric methods to deep neural networks
The success of deep learning has inspired recent interests in applying n...
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05/31/2020
Estimation of the number of spiked eigenvalues in a covariance matrix by bulk eigenvalue matching analysis
The spiked covariance model has gained increasing popularity in high-dim...
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09/14/2019
Community Detection for Hypergraph Networks via Regularized Tensor Power Iteration
To date, social network analysis has been largely focused on pairwise in...
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05/31/2019
Diagonally-Dominant Principal Component Analysis
We consider the problem of decomposing a large covariance matrix into th...
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04/21/2019
Optimal Adaptivity of Signed-Polygon Statistics for Network Testing
Given a symmetric social network, we are interested in testing whether i...
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12/13/2018
Higher Moment Estimation for Elliptically-distributed Data: Is it Necessary to Use a Sledgehammer to Crack an Egg?
Multivariate elliptically-contoured distributions are widely used for mo...
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11/14/2018
SCORE+ for Network Community Detection
SCORE is a recent approach to network community detection proposed by Ji...
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11/06/2018
State Aggregation Learning from Markov Transition Data
State aggregation is a model reduction method rooted in control theory a...
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07/23/2018
Network Global Testing by Counting Graphlets
Consider a large social network with possibly severe degree heterogeneit...
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08/16/2016
A Geometrical Approach to Topic Model Estimation
In the probabilistic topic models, the quantity of interest---a low-rank...
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02/24/2015
