"Likelihood, Bayesian, and Mcmc Methods in Quantitative Genetics"

By D. Sorensen, D. Gianola. 2010

398 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/f487eef6e8be742bfd5a89b7cc3a5961d31d938b

How researchers see this paper

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

In Genetics

1. Naomi R. Wray
2. Peter M. Visscher
3. Michael E. Goddard
4. K. Verbyla
5. Frank Dudbridge
6. Alkes L Price
7. Ben J. Hayes
8. Jian Yang

In Molecular Biology

1. Michael E. Goddard
2. Naomi R. Wray
3. Peter M. Visscher
4. K. Verbyla

Citations in the corpus

• Estimating Effects and Making Predictions from Genome-Wide Marker Data (2010, methodology): “ of a random variable that has the lowest mean square error of prediction is the conditional mean given the data available for prediction [24, 25, 37, 43]. This predictor is called the best predictor [24, 40]. In the case of predicting the milk yield of a future cow conditional on the milk yields ob”