Miguel A. Juárez

Statistics and Probability · 2010

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 15 citations into it; #8,148 of 12,932 by trust here, #9,714 by citations
• Artificial Intelligence — 11 citations into it; #22,251 of 35,345 by trust here, #30,347 by citations
• Economics and Econometrics — 5 citations into it; #13,887 of 23,481 by trust here, #20,008 by citations

Whom Miguel A. Juárez trusts overall

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

1. Matthew Stephens
2. Peter J. Green
3. M. Hashem
4. Fabio Canova
5. Keisuke Hirano
6. James H. Stock
7. Chris Fraley
8. Adelchi Azzalini
9. M. Chris Jones
10. Gilles Celeux

Who trusts Miguel A. Juárez overall

1. Aki Vehtari
2. Paul-Christian Burkner
3. Andrew Gelman
4. Christoph Pamminger
5. Jonah Gabry
6. Liangjun Su

Papers from Miguel A. Juárez's perspective

Ordered by how strongly the researchers Miguel A. Juárez 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. Bayesian analysis of mixture models with an unknown number of components- an alternative to reversible jump methods
3. Estimating the Dimension of a Model
4. Dealing with label switching in mixture models
5. Computational and Inferential Difficulties with Mixture Posterior Distributions
6. Finite Mixture Models (Wiley Series in Probability and Statistics)
7. Model-Based Clustering, Discriminant Analysis, and Density Estimation
8. Markov Chain Monte Carlo in Practice
9. Distributions generated by perturbation of symmetry with emphasis on a multivariate skew t‐distribution
10. Bayesian Density Estimation and Inference Using Mixtures

Their papers

• Model-Based Clustering of Non-Gaussian Panel Data Based on Skew-t Distributions (2010) — 124 citations