Joseph E. Lucas

Probabilistic & Bayesian Methods · 2008–2015

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 5 citations into it

Whom Joseph E. Lucas trusts overall

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

1. Matthew West
2. Matthew J. Beal
3. Michalis K. Titsias

Papers from Joseph E. Lucas's perspective

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

1. Bayesian Density Estimation and Inference Using Mixtures
2. Variational algorithms for approximate Bayesian inference
3. Sparse Gaussian Processes using Pseudo-inputs
4. Predicting the clinical status of human breast cancer by using gene expression profiles (Proceedings of the National Academy of Sciences of the United States of America)
5. Variational Learning of Inducing Variables in Sparse Gaussian Processes
6. Bayesian factor regression models in the''large p
7. Variational Inference for Gaussian Process Modulated Poisson Processes
8. Learning Gaussian processes from multiple tasks
9. BAYESIAN MODEL ASSESSMENT IN FACTOR ANALYSIS
10. Hierarchical priors and mixture models, with applications in regression and density estimation

Their papers

• High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics (2008) — 574 citations
• A Multitask Point Process Predictive Model (2015) — 65 citations