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09/19/2023
A dynamic mean-field statistical model of academic collaboration
There is empirical evidence that collaboration in academia has increased...
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08/04/2023
Learning Networks from Gaussian Graphical Models and Gaussian Free Fields
We investigate the problem of estimating the structure of a weighted net...
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07/24/2023
Consistent model selection in the spiked Wigner model via AIC-type criteria
Consider the spiked Wigner model X = ∑_i = 1^k λ_i u_i u_i^⊤ + ...
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02/24/2023
Wasserstein Projection Pursuit of Non-Gaussian Signals
We consider the general dimensionality reduction problem of locating in ...
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08/02/2022
Concentration inequalities for correlated network-valued processes with applications to community estimation and changepoint analysis
Network-valued time series are currently a common form of network data. ...
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01/20/2022
Learning with latent group sparsity via heat flow dynamics on networks
Group or cluster structure on explanatory variables in machine learning ...
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11/29/2021
Changepoint Analysis of Topic Proportions in Temporal Text Data
Changepoint analysis deals with unsupervised detection and/or estimation...
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01/11/2021
Some characterisation results on classical and free Poisson thinning
Poisson thinning is an elementary result in probability, which is of gre...
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11/09/2020
High dimensional PCA: a new model selection criterion
Given a random sample from a multivariate population, estimating the num...
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09/04/2020
Consistent detection and optimal localization of all detectable change points in piecewise stationary arbitrarily sparse network-sequences
We consider the offline change point detection and localization problem ...
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08/20/2020
Exact Tests for Offline Changepoint Detection in Multichannel Binary and Count Data with Application to Networks
We consider offline detection of a single changepoint in binary and coun...
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06/02/2019
Graphon Estimation from Partially Observed Network Data
We consider estimating the edge-probability matrix of a network generate...
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08/18/2017
Two provably consistent divide and conquer clustering algorithms for large networks
In this article, we advance divide-and-conquer strategies for solving th...
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06/08/2016
