Justinas Pelenis

Statistics and Probability · 2011

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 21 citations into it; #9,107 of 12,932 by trust here, #12,077 by citations
• Artificial Intelligence — 20 citations into it; #24,758 of 35,345 by trust here, #34,213 by citations
• Finance — 5 citations into it

Whom Justinas Pelenis trusts overall

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

1. John Geweke
2. Peter J. Green
3. Han Lin Shang
4. Stephen G. Walker
5. Omiros Papaspiliopoulos
6. Surya T. Tokdar
7. T. Hayfield
8. Jayanta Kumar Ghosh
9. Jeffrey S. Racine
10. Subhashis Ghosal

Who trusts Justinas Pelenis overall

1. Andrés F. Barrientos

Papers from Justinas Pelenis's perspective

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

1. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
2. Convergence rates of posterior distributions
3. Order-Based Dependent Dirichlet Processes
4. Bayesian density regression
5. Bayesian Nonparametrics
6. The consistency of posterior distributions in nonparametric problems
7. Retrospective Markov chain Monte Carlo methods for Dirichlet process hierarchical models
8. Bayesian Density Estimation and Inference Using Mixtures
9. Rates of convergence for the posterior distributions of mixtures of betas and adaptive nonparamatric estimation of the density
10. On Bayes procedures

Their papers

• POSTERIOR CONSISTENCY IN CONDITIONAL DENSITY ESTIMATION BY COVARIATE DEPENDENT MIXTURES (2011) — 50 citations