Statistical analyses for round robin interaction data

By Paramjit S. Gill, Tim B. Swartz. 2001

64 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/74f52aceb3bb7619579d6095fe50a4882f6386fb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Peter D. Hoff
2. Mohsen Pourahmadi
3. Edoardo M. Airoldi
4. Aditya Krishna Menon
5. Charles Peter Elkan
6. Thordis Linda Thorarinsdottir
7. Isobel Claire Gormley
8. Scott W. Linderman

In Food Science

1. Peter D. Hoff

In Statistics and Probability

1. Peter D. Hoff
2. Mohsen Pourahmadi
3. Cristiano Varin
4. Ricardo M. A. Silva
5. A. O’Malley
6. Peter V. Marsden
7. David L. Donoho
8. Aditya Krishna Menon

Citations in the corpus

• Bilinear Mixed-Effects Models for Dyadic Data (2005, methodology): “Gill and Swartz (2001) have proposed a Gibbs sampling scheme for estimation of random effects in the linear case with the identity link, although we have found that their algorithm does not mix well when covariates are included, due to a weak identifiability of the unit-level random effects and…”