From the 1 of 4 linked papers with an AI index.
4 papers
Mixture of Directed Graphical Models for Discrete Spatial Random Fields
J. Brandon Carter, Catherine A. Calder
The paper introduces a mixture of directed graphical models (MDGMs) as a computationally efficient Bayesian alternative to traditional Markov random field approaches for modeling d…
Hyperbolic Latent Space Models for Network Embedding: Model Specification and Bayesian Inference
Yiwei Gong, Anna L. Smith, Dena Asta +1
Many real-world networks exhibit hierarchical, tree-like structure and heavy-tailed degree distributions, phenomena not readily captured by standard statistical models for network…
Markov Random Fields: Structural Properties, Phase Transition, and Response Function Analysis
J. Brandon Carter, Catherine A. Calder
This paper presents a focused review of Markov random fields (MRFs)--commonly used probabilistic representations of spatial dependence in discrete spatial domains--for categorical…
Toward a Data Processing Pipeline for Mobile-Phone Tracking Data
Marcin Jurek, Catherine A. Calder, Corwin Zigler +2
As mobile phones become ubiquitous, high-frequency smartphone positioning data are increasingly being used by researchers studying the mobility patterns of individuals as they go a…