A Sparse Implementation of the Average Information Algorithm for Factor Analytic and Reduced Rank Variance Models

By Robin Thompson, Brian R. Cullis, Alison Smith, A. R. Gilmour. 2003

113 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c4622802b28cd5e61266a6800892cc05a30050c3

How researchers see this paper

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

In Management Science and Operations Research

1. Brian R. Cullis
2. Alison B. Smith
3. Sue J. Welham
4. Robin Thompson
5. Beverley J. Gogel
6. A. R. Gilmour
7. P. Carneiro
8. R. M. Lark

In Statistics and Probability

1. Alison B. Smith
2. Brian R. Cullis
3. Robin Thompson
4. Sue J. Welham
5. Beverley J. Gogel
6. P. Carneiro
7. Matt P. Wand
8. John Thomas Ormerod

Citations in the corpus

• Genotype-by-environment interaction and yield stability analysis of biomass sorghum hybrids using factor analytic models and environmental covariates (2020, methodology): “In addition, graphical tools, such as latent regression plots (Smith et al., 2015; Thompson et al., 2003) and heatmaps of estimated genetic correlation matrices across environments (Cullis et al.”
• ASREML user guide release 1.0 (2002, methodology): “See Smith et al. (2001) and Thompson et al. (2003) for examples of factor analytic models in multi-environment trials.”
• The analysis of crop cultivar breeding and evaluation trials: an overview of current mixed model approaches (2005, methodology): “The FA model with sufficient multiplicative terms has been found to provide a good and parsimonious approximation to the unstructured form and is generally more computationally robust (see Thompson et al. 2003).”