D. Gianola

Statistics and Probability · Genetics · 2003–2010

A researcher in the Science corpus: 6 papers; trusts 13 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 21 citations into it
• Genetics — 20 citations into it; #502 of 6,854 by trust here, #1,002 by citations
• Plant Science — 15 citations into it; #1,218 of 8,232 by trust here, #1,845 by citations
• Artificial Intelligence — 8 citations into it
• Statistical Learning Theory — 8 citations into it
• Optimization & Training — 5 citations into it

Whom D. Gianola trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Bernard Walter Silverman
2. Robert Tibshirani
3. Trevor J. Hastie
4. Yuhai Wu
5. John K. Kruschke
6. Grace Wahba
7. Trevor Park
8. R. Bernardo
9. John Shawe-Taylor
10. Jerome H. Friedman

Who trusts D. Gianola overall

1. G. de los Campos
2. Jose Crossa
3. Michael E. Goddard
4. Andrés Legarra
5. Ole F. Christensen
6. P. Pérez
7. Jeffrey B. Endelman
8. J. Rutkoski
9. I. Aguilar
10. Naomi R. Wray

Papers from D. Gianola's perspective

Ordered by how strongly the researchers D. Gianola trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Shrinkage and Selection via the Lasso
2. The Impact of Genetic Relationship Information on Genome-Assisted Breeding Values (Genetics)
3. Statistical Learning Theory
4. Density Estimation for Statistics and Data Analysis
5. Genome-wide genetic association of complex traits in heterogeneous stock mice (Nature Genetics)
6. Mixed-Effects Models in S and S-Plus
7. Genomic-Assisted Prediction of Genetic Value With Semiparametric Procedures (Genetics)
8. Bayesian data analysis.
9. Genomic measures of relationship and inbreeding
10. Kernel Methods for Pattern Analysis

Their papers

• Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods. (2010) — 318 citations
• "Likelihood, Bayesian, and Mcmc Methods in Quantitative Genetics" (2010) — 398 citations
• Prediction of Genetic Values of Quantitative Traits in Plant Breeding Using Pedigree and Molecular Markers (2010) — 728 citations
• Predicting Quantitative Traits With Regression Models for Dense Molecular Markers and Pedigree (2009) — 599 citations
• Genomic-Assisted Prediction of Genetic Value With Semiparametric Procedures (2006) — 448 citations
• Robust Linear Mixed Models with Normal/Independent Distributions and Bayesian MCMC Implementation (2003) — 154 citations