Hedibert Freitas Lopes

Statistics and Probability · 2004–2018

A researcher in the Science corpus: 13 papers; trusts 39 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 37 citations into it; #5,804 of 12,932 by trust here, #7,165 by citations
• Economics and Econometrics — 31 citations into it; #6,063 of 23,481 by trust here, #14,051 by citations
• Artificial Intelligence — 19 citations into it; #10,713 of 35,345 by trust here, #18,186 by citations
• Finance — 18 citations into it; #2,602 of 10,518 by trust here, #5,165 by citations
• Probabilistic & Bayesian Methods — 15 citations into it
• Management Science and Operations Research — 7 citations into it
• Environmental Engineering — 6 citations into it

Whom Hedibert Freitas Lopes trusts overall

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

1. S. Ejaz Ahmed
2. Robert F. Engle
3. Peter J. Green
4. Hirotugu Akaike
5. Matthew West
6. Alan E. Gelfand
7. Simon J. Godsill
8. Gary Chamberlain
9. Mattias Villani
10. James O. Berger

Who trusts Hedibert Freitas Lopes overall

1. Carlos M. Carvalho
2. Anirban Bhattacharya
3. Noel Cressie
4. Peter D. Hoff
5. Guanhao Feng
6. Sydney C. Ludvigson
7. Mathias Drton
8. David B. Dunson
9. Serena Ng
10. Emanuel Moench

Papers from Hedibert Freitas Lopes's perspective

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

1. Bayesian Density Estimation and Inference Using Mixtures
2. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
3. Estimating the Dimension of a Model
4. Bayesian measures of model complexity and fit
5. Bayesian Dynamic Factor Models and Portfolio Allocation
6. Sampling-Based Approaches to Calculating Marginal Densities
7. Bayesian Model Choice: Asymptotics and Exact Calculations
8. Sequential Monte Carlo Methods in Practice
9. Monte Carlo Statistical Methods
10. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

Their papers

• Spatial dynamic factor analysis (2008) — 155 citations
• Factor stochastic volatility with time varying loadings and Markov switching regimes (2007) — 114 citations
• Bayesian analysis of extreme events with threshold estimation (2004) — 236 citations
• On the Long-Run Volatility of Stocks (2018) — 18 citations
• Dynamic Stock Selection Strategies: A Structured Factor Model Framework (2012) — 38 citations
• Bayesian Instrumental Variables: Priors and Likelihoods (2014) — 46 citations
• Parsimonious Bayesian Factor Analysis when the Number of Factors is Unknown (2010) — 68 citations
• Particle Learning and Smoothing (2010) — 358 citations
• Decision Theory: Principles and Approaches (2009) — 98 citations
• Bayesian Model Uncertainty In Smooth Transition Autoregressions (2006) — 52 citations
• Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition (2006) — 522 citations
• Spatio‐temporal models for mapping the incidence of malaria in Pará (2005) — 68 citations
• BAYESIAN MODEL ASSESSMENT IN FACTOR ANALYSIS (2004) — 524 citations