Work

Comment

Year: 2017

Type: article

Abstract: Durante, Dunson and Vogelstein (DDV) are to be congratulated on producing an accessible paper on flexibly modeling population distributions for networks. The framework has its roots in the hierarch...

Source: Journal of the American Statistical Association

DOI: 10.1080/01621459.2017.1389737

Author: Mark S. Handcock

Institution: University of California, Los Angeles

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funder: Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: Innovations in Network Modeling for HIV Prevention Studies, G4413057280, California Center for Population Research (CCPR) at UCLA, Valid Inference for Respondent Driven Sampling of Hidden Networked Populations

OpenAlex ID: W4236601275

FWCI:

Cites: 8

Cited by: 1

Related to: 10