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09/04/2023
𝕋-Stochastic Graphs
Previous statistical approaches to hierarchical clustering for social ne...
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08/06/2021
Estimating Graph Dimension with Cross-validated Eigenvalues
In applied multivariate statistics, estimating the number of latent dime...
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07/01/2020
A New Basis for Sparse PCA
The statistical and computational performance of sparse principal compon...
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04/11/2020
Vintage Factor Analysis with Varimax Performs Statistical Inference
Psychologists developed Multiple Factor Analysis to decompose multivaria...
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10/04/2019
Targeted sampling from massive Blockmodel graphs with personalized PageRank
This paper provides statistical theory and intuition for Personalized Pa...
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12/04/2018
Reducing Seed Bias in Respondent-Driven Sampling by Estimating Block Transition Probabilities
Respondent-driven sampling (RDS) is a popular approach to study marginal...
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08/31/2018
Asymptotic Seed Bias in Respondent-driven Sampling
Respondent-driven sampling (RDS) collects a sample of individuals in a n...
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06/05/2018
Understanding Regularized Spectral Clustering via Graph Conductance
This paper uses the relationship between graph conductance and spectral ...
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08/23/2017
Discovering Political Topics in Facebook Discussion threads with Spectral Contextualization
We propose a new technique, Spectral Contextualization, to study politic...
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05/20/2015
Network driven sampling; a critical threshold for design effects
Web crawling, snowball sampling, and respondent-driven sampling (RDS) ar...
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11/26/2014
A note relating ridge regression and OLS p-values to preconditioned sparse penalized regression
When the design matrix has orthonormal columns, "soft thresholding" the ...
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11/08/2014
Covariate-assisted spectral clustering
Biological and social systems consist of myriad interacting units. The i...
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09/16/2013
Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel
Spectral clustering is a fast and popular algorithm for finding clusters...
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07/08/2013
The blessing of transitivity in sparse and stochastic networks
The interaction between transitivity and sparsity, two common features i...
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04/10/2012
Co-clustering for directed graphs: the Stochastic co-Blockmodel and spectral algorithm Di-Sim
Directed graphs have asymmetric connections, yet the current graph clust...
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11/03/2010