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Peter David Hoff

James B. Duke Distinguished Professor of Statistical Science
Statistical Science
214 Old Chemistry Bldg, Durham, NC 27708-0251

Scholarly Works - Conferences


Modeling homophily and stochastic equivalence in symmetric relational data

Conference Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference · December 1, 2009 This article discusses a latent variable model for inference and prediction of symmetric relational data. The model, based on the idea of the eigenvalue decomposition, represents the relationship between two nodes as the weighted inner-product of node-spec ... Cite

Modeling homophily and stochastic equivalence in symmetric relational data

Conference Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference · January 1, 2008 This article discusses a latent variable model for inference and prediction of symmetric relational data. The model, based on the idea of the eigenvalue decomposition, represents the relationship between two nodes as the weighted inner-product of node-spec ... Cite

Modeling homophily and stochastic equivalence in symmetric relational data

Conference Advances in Neural Information Processing Systems 20 Proceedings of the 2007 Conference · January 1, 2008 This article discusses a latent variable model for inference and prediction of symmetric relational data. The model, based on the idea of the eigenvalue decomposition, represents the relationship between two nodes as the weighted inner-product of node-spec ... Cite

MODELING TRANSMISSION RISK AMONG HIV-POSITIVE MOZAMBICANS INITIATING HAART

Conference ANNALS OF BEHAVIORAL MEDICINE · December 2007 Link to item Cite

Positional estimation within a latent space model for networks

Conference Methodology · January 1, 2006 Recent advances in latent space and related random effects models hold much promise for representing network data. The inherent dependency between ties in a network makes modeling data of this type difficult. In this article we consider a recently develope ... Full text Cite

Identifying international networks: Latent spaces and imputation

Conference DYNAMIC SOCIAL NETWORK MODELING AND ANALYSIS · January 1, 2003 Link to item Cite

Random effects models for network data

Conference DYNAMIC SOCIAL NETWORK MODELING AND ANALYSIS · 2003 Link to item Cite