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07/13/2023
Scalable Resampling in Massive Generalized Linear Models via Subsampled Residual Bootstrap
Residual bootstrap is a classical method for statistical inference in re...
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01/17/2023
Word Embeddings as Statistical Estimators
Word embeddings are a fundamental tool in natural language processing. C...
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12/21/2022
Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology
The rise of internet-based services and products in the late 1990's brou...
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02/09/2022
Core-periphery structure in networks: a statistical exposition
Many real-world networks are theorized to have core-periphery structure ...
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07/08/2021
A model-agnostic hypothesis test for community structure and homophily in networks
Networks continue to be of great interest to statisticians, with an emph...
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07/28/2020
Scalable Estimation of Epidemic Thresholds via Node Sampling
Infectious or contagious diseases can be transmitted from one person to ...
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04/16/2020
Online Social Deception and Its Countermeasures for Trustworthy Cyberspace: A Survey
We are living in an era when online communication over social network se...
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11/15/2019
A Bootstrap-based Inference Framework for Testing Similarity of Paired Networks
We live in an interconnected world where network valued data arises in m...
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10/25/2019
Toward epidemic thresholds on temporal networks: a review and open questions
Epidemiological contact network models have emerged as an important tool...
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10/15/2019
The Value of Summary Statistics for Anomaly Detection in Temporally-Evolving Networks: A Performance Evaluation Study
Network data has emerged as an active research area in statistics. Much ...
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07/24/2018
Anomaly detection in static networks using egonets
Network data has rapidly emerged as an important and active area of stat...
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11/04/2017
