Antonio Lijoi

Artificial Intelligence · 2003–2014

A researcher in the Science corpus: 11 papers; trusts 25 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 65 citations into it; #5,920 of 35,345 by trust here, #10,430 by citations
• Statistics and Probability — 52 citations into it; #3,608 of 12,932 by trust here, #4,253 by citations
• Mathematical Physics — 29 citations into it; #2,809 of 8,562 by trust here, #2,582 by citations
• Molecular Biology — 11 citations into it; #8,406 of 17,773 by trust here, #14,833 by citations
• Finance — 10 citations into it
• Statistical and Nonlinear Physics — 9 citations into it
• Applied Mathematics — 7 citations into it; #4,488 of 7,620 by trust here, #5,097 by citations
• Condensed Matter Physics — 6 citations into it

Whom Antonio Lijoi trusts overall

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

1. Lancelot F. James
2. Jim Pitman
3. Hemant Ishwaran
4. Peter Müller
5. Igor Prünster
6. S. MacEachern
7. Chang Xuan Mao
8. Peter McCullagh
9. Matthew West
10. Fernando A. Quintana

Who trusts Antonio Lijoi overall

1. Igor Prünster
2. Lancelot F. James
3. S. Favaro
4. Harry Crane
5. A. Chao
6. A. Onatski
7. Jim E. Griffin
8. Fernando A. Quintana
9. Ramsés H. Mena
10. Bernardo Nipoti

Papers from Antonio Lijoi's perspective

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

1. Bayesian Density Estimation and Inference Using Mixtures
2. Gibbs Sampling Methods for Stick-Breaking Priors
3. Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems
4. Estimating normal means with a conjugate style dirichlet process prior
5. Poisson-Kingman partitions
6. Combinatorial Stochastic Processes
7. Modelling Heterogeneity With and Without the Dirichlet Process
8. Generalized weighted Chinese restaurant processes for species sampling mixture models
9. Poisson Process Partition Calculus with applications to Exchangeable models and Bayesian Nonparametrics
10. © Institute of Mathematical Statistics, 2004 Nonparametric Bayesian Data Analysis

Their papers

• On rates of convergence for posterior distributions in infinite-dimensional models (2007) — 85 citations
• Bayesian Nonparametric Estimation of the Probability of Discovering New Species (2007) — 196 citations
• Posterior Analysis for Normalized Random Measures with Independent Increments (2009) — 235 citations
• Bayesian inference with dependent normalized completely random measures (2014) — 94 citations
• Conjugacy as a Distinctive Feature of the Dirichlet Process (2006) — 78 citations
• On the stick-breaking representation of normalized inverse Gaussian priors (2012) — 47 citations
• Bayesian Nonparametrics: Models beyond the Dirichlet process (2009) — 46 citations
• Bayesian non‐parametric inference for species variety with a two‐parameter Poisson–Dirichlet process prior (2009) — 108 citations
• Bayesian Nonparametric Analysis for a Generalized Dirichlet Process Prior (2005) — 47 citations
• Means of a Dirichlet process and multiple hypergeometric functions (2004) — 64 citations
• Distributional results for means of normalized random measures with independent increments (2003) — 277 citations