Latent Surface Models for Networks Using Aggregated Relational Data
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DOI: 10.1080/01621459.2014.991395
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Cited by:
- Hossein Alidaee & Eric Auerbach & Michael P. Leung, 2020. "Recovering Network Structure from Aggregated Relational Data using Penalized Regression," Papers 2001.06052, arXiv.org.
- Chih‐Sheng Hsieh & Lung‐Fei Lee & Vincent Boucher, 2020.
"Specification and estimation of network formation and network interaction models with the exponential probability distribution,"
Quantitative Economics, Econometric Society, vol. 11(4), pages 1349-1390, November.
- Hsieh, Chih-Sheng & Lee, Lung fei, 2017. "Specification and Estimation of Network Formation and Network Interaction Models with the Exponential Probability Distribution," MPRA Paper 60726, University Library of Munich, Germany.
- Roy, Arkaprava & Sarkar, Abhra, 2023. "Bayesian semiparametric multivariate density deconvolution via stochastic rotation of replicates," Computational Statistics & Data Analysis, Elsevier, vol. 182(C).
- Owen G. Ward & Jing Wu & Tian Zheng & Anna L. Smith & James P. Curley, 2022. "Network Hawkes process models for exploring latent hierarchy in social animal interactions," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1402-1426, November.
- Victor Sellemi, 2022. "Risk in Network Economies," Papers 2208.01467, arXiv.org.
- Arun G. Chandrasekhar & Horacio Larreguy & Juan Pablo Xandri, 2020. "Testing Models of Social Learning on Networks: Evidence From Two Experiments," Econometrica, Econometric Society, vol. 88(1), pages 1-32, January.
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