Dani Gamerman

Statistics and Probability · 1997–2015

A researcher in the Science corpus: 7 papers; trusts 37 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 31 citations into it; #5,098 of 12,932 by trust here, #6,853 by citations
• Artificial Intelligence — 19 citations into it; #15,960 of 35,345 by trust here, #26,682 by citations
• Economics and Econometrics — 17 citations into it; #11,485 of 23,481 by trust here, #19,308 by citations
• Probabilistic & Bayesian Methods — 11 citations into it
• Environmental Engineering — 8 citations into it
• Global and Planetary Change — 6 citations into it; #3,794 of 10,225 by trust here, #8,506 by citations
• Management Science and Operations Research — 6 citations into it; #9,846 of 11,946 by trust here, #10,893 by citations

Whom Dani Gamerman trusts overall

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

1. S. Ejaz Ahmed
2. Peter J. Diggle
3. Eric R. Ziegel
4. V. Gómez‐Rubio
5. Gareth O. Roberts
6. David J. Spiegelhalter
7. Hedibert Freitas Lopes
8. Athanasios Kottas
9. A. Brix
10. Andrew Gelman

Who trusts Dani Gamerman overall

1. N. Klein
2. Thomas Kneib
3. C. Biller
4. Ludwig Fahrmeir
5. Stefan Lang
6. Andreas Brezger
7. Mohammad Emtiyaz Khan
8. Andrea Hennerfeind
9. Christopher C. Holmes
10. Hong-Tu Zhu

Papers from Dani Gamerman's perspective

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

1. Estimating the Dimension of a Model
2. Generalized Linear Models
3. Inference from Iterative Simulation Using Multiple Sequences
4. Bayesian measures of model complexity and fit
5. Monte Carlo Statistical Methods
6. Hierarchical Modeling and Analysis for Spatial Data
7. On the Relationship Between Markov chain Monte Carlo Methods for Model Uncertainty
8. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
9. A new look at the statistical model identification
10. Objective Bayesian Analysis of Spatially Correlated Data

Their papers

• Spatial dynamic factor analysis (2008) — 155 citations
• An Integrated Bayesian Model for DIF Analysis (2009) — 49 citations
• Bayesian analysis of extreme events with threshold estimation (2004) — 236 citations
• A NON‐GAUSSIAN FAMILY OF STATE‐SPACE MODELS WITH EXACT MARGINAL LIKELIHOOD (2013) — 71 citations
• Exact Bayesian inference in spatiotemporal Cox processes driven by multivariate Gaussian processes (2015) — 54 citations
• Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition (2006) — 522 citations
• Sampling from the posterior distribution in generalized linear mixed models (1997)