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08/08/2023
Multiple Testing of Local Extrema for Detection of Structural Breaks in Piecewise Linear Models
In this paper, we propose a new generic method for detecting the number ...
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08/04/2023
Network Inference Using the Hub Model and Variants
Statistical network analysis primarily focuses on inferring the paramete...
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11/11/2022
Spatial Temporal Graph Convolution with Graph Structure Self-learning for Early MCI Detection
Graph neural networks (GNNs) have been successfully applied to early mil...
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06/16/2022
Variational Estimators of the Degree-corrected Latent Block Model for Bipartite Networks
Biclustering on bipartite graphs is an unsupervised learning task that s...
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06/16/2022
Adaptive Algorithm for Quantum Amplitude Estimation
Quantum amplitude estimation is a key sub-routine of a number of quantum...
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06/23/2021
An Effective Bernstein-type Bound on Shannon Entropy over Countably Infinite Alphabets
We prove a Bernstein-type bound for the difference between the average o...
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07/09/2020
On Optimal Uniform Concentration Inequalities for Discrete Entropies in the High-dimensional Setting
We prove an exponential decay concentration inequality to bound the tail...
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04/21/2020
Identifiability and consistency of network inference using the hub model and variants: a restricted class of Bernoulli mixture models
Statistical network analysis primarily focuses on inferring the paramete...
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03/26/2020
Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets
Social media, especially Twitter, is being increasingly used for researc...
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08/31/2019
A Note on New Bernstein-type Inequalities for the Log-likelihood Function of Bernoulli Variables
We prove a new Bernstein-type inequality for the log-likelihood function...
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05/22/2019
Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter
Among American women, the rate of breast cancer is only second to lung c...
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09/07/2018
Logistic Regression Augmented Community Detection for Network Data with Application in Identifying Autism-Related Gene Pathways
When searching for gene pathways leading to specific disease outcomes, a...
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08/31/2018
Penalized Component Hub Models
Social network analysis presupposes that observed social behavior is inf...
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08/25/2018
Network Inference from Temporal-Dependent Grouped Observations
In social network analysis, the observed data is usually some social beh...
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03/17/2017
On Consistency of Graph-based Semi-supervised Learning
Graph-based semi-supervised learning is one of the most popular methods ...
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01/29/2013