Joseph B. Nagel

Statistics and Probability · 2016

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 33 citations into it
• Artificial Intelligence — 16 citations into it
• Civil and Structural Engineering — 7 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Joseph B. Nagel trusts overall

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

1. Andrew Gelman
2. Radford M. Neal
3. Denise Draper
4. Albert Tarantola
5. James L. Beck
6. D. V. van Dyk
7. A. Der Kiureghian
8. Uffe Kjærulff
9. Xiao-Li Meng
10. Siu-Kui Au

Who trusts Joseph B. Nagel overall

1. Ramin Bostanabad
2. Yichi Zhang

Papers from Joseph B. Nagel's perspective

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

1. Inverse problem theory - and methods for model parameter estimation
2. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
3. Assessment and Propagation of Model Uncertainty
4. Estimating the Dimension of a Model
5. MCMC Using Hamiltonian Dynamics
6. Aleatory or epistemic? Does it matter?
7. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
8. Statistical and Computational Inverse Problems (Technometrics)
9. The Art of Data Augmentation
10. Sampling-Based Approaches to Calculating Marginal Densities

Their papers

• A unified framework for multilevel uncertainty quantification in Bayesian inverse problems (2016) — 94 citations