Statistics

Bayesian Modeling for Aggregated Relational Data: A Unified Perspective
Aggregated relational data is widely collected to study social network theory. It has been used to address a variety of key problems in …
Cite DOI arXiv
Network Hawkes Process Models for Exploring Latent Hierarchy in Social Animal Interactions
Group-based social dominance hierarchies are of essential interest in animal behavior research. Studies often record aggressive …
Cite DOI URL
Toward a Taxonomy of Trust for Probabilistic Machine Learning
Probabilistic machine learning increasingly informs critical decisions in medicine, economics, politics, and beyond. We need evidence …
Cite DOI arXiv
Next Waves in Veridical Network Embedding
Embedding nodes of a large network into a metric (e.g., Euclidean) space has become an area of active research in statistical machine …
Cite DOI arxiv
Diagnostics and Visualization of Point Process Models for Event Times on a Social Network
Point process models have been used to analyze interaction event times on a social network, in the hope to provides valuable insights …
Cite DOI arxiv
Phase-Aligned Spectral Filtering for Decomposing Spatiotemporal Dynamics
Spatiotemporal dynamics is central to a wide range of applications from climatology, computer vision to neural sciences. From temporal …
Cite DOI arXiv
Discovering influential variables: A method of partitions
A trend in all scientific disciplines, based on advances in technology, is the increasing availability of high dimensional data in …
Cite DOI URL
Statistical Methods for Aggregated Relational Data

A core and active research area of the TZstats lab.

Statistical Methods for Aggregated Relational Data