๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Exponential Family Models for sampled and census Network data

โœ Scribed by Laura M. Koehly; Steven M. Goodreau; Martina Morris

Book ID
110744961
Publisher
John Wiley and Sons
Year
2004
Tongue
English
Weight
595 KB
Volume
34
Category
Article
ISSN
0081-1750

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Curved exponential family models for soc
Curved exponential family models for social networks
โœ David R. Hunter ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 264 KB

Curved exponential family models are a useful generalization of exponential random graph models (ERGMs). In particular, models involving the alternating k-star, alternating k-triangle, and alternating ktwopath statistics of Snijders et al. [Snijders, T.A.B., Pattison, P.E., Robins, G.L., Handcock, M

An exponential family model for clustere
An exponential family model for clustered multivariate binary data
โœ Geert Molenberghs; Louise M. Ryan ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 217 KB ๐Ÿ‘ 3 views

This paper focuses on the analysis of clustered multivariate binary data that arise from developmental toxicity studies. In these studies, pregnant mice are exposed to chemicals to assess possible adverse eects on developing fetuses. Multivariate binary outcomes arise when each fetus in a litter is