Michele Guindani

Artificial Intelligence · 2007–2021

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #12,484 of 35,345 by trust here, #21,878 by citations
• Statistics and Probability — 10 citations into it; #4,449 of 12,932 by trust here, #4,964 by citations
• Environmental Engineering — 5 citations into it

Whom Michele Guindani trusts overall

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

1. Hemant Ishwaran
2. Alan E. Gelfand
3. S. MacEachern
4. Jim E. Griffin
5. Mahmoud Zarepour
6. Jim Albert
7. C. Fernández
8. D. Higdon
9. Athanasios Kottas
10. Mark F. J. Steel

Who trusts Michele Guindani overall

1. David B. Dunson
2. Samuel J. Gershman
3. David M. Blei
4. Yee Whye Teh
5. Abel Rodríguez
6. Jane-ling Wang
7. Fernando A. Quintana
8. Qi An

Papers from Michele Guindani's perspective

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

1. Bayesian Density Estimation and Inference Using Mixtures
2. Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems
3. Exact and approximate sum representations for the Dirichlet process
4. Bayesian analysis of binary and polychotomous response data
5. An ANOVA Model for Dependent Random Measures
6. Sampling-Based Approaches to Calculating Marginal Densities
7. Order-Based Dependent Dirichlet Processes
8. Hierarchical Dirichlet Processes
9. Non-Stationary Spatial Modeling
10. DIRICHLET PRIOR SIEVES IN FINITE NORMAL MIXTURES

Their papers

• Generalized spatial dirichlet process models (2007) — 198 citations
• Hybrid Dirichlet mixture models for functional data (2009) — 115 citations
• Beyond t-Test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience research (2021)