Joseph Guinness

Environmental Engineering · 2017

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 34 citations into it; #3,117 of 5,479 by trust here, #4,524 by citations
• Economics and Econometrics — 21 citations into it
• Statistics and Probability — 18 citations into it
• Artificial Intelligence — 12 citations into it; #24,393 of 35,345 by trust here, #30,347 by citations
• Applied Mathematics — 10 citations into it
• Computational Theory and Mathematics — 5 citations into it; #8,312 of 12,182 by trust here, #11,946 by citations

Whom Joseph Guinness trusts overall

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

1. Michael L. Stein
2. Tamer Basar
3. Robert B. Gramacy
4. Noel Cressie
5. Edward Snelson
6. Sudipto Banerjee
7. D. Higdon
8. Huiyan Sang
9. Zoubin Ghahramani
10. G. Jóhannesson

Who trusts Joseph Guinness overall

1. Alexander Litvinenko

Papers from Joseph Guinness's perspective

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

1. Interpolation of spatial data
2. Hierarchical Modeling and Analysis for Spatial Data
3. The Nature of Statistical Learning Theory
4. Covariance Tapering for Interpolation of Large Spatial Datasets
5. Statistical Methods for Spatial Data Analysis
6. Space and Space-Time Modeling using Process Convolutions
7. A Multiresolution Gaussian Process Model for the Analysis of Large Spatial Datasets
8. AN OVERVIEW OF COMPOSITE LIKELIHOOD METHODS
9. A process-convolution approach to modelling temperatures in the North Atlantic Ocean
10. Fixed-domain asymptotic properties of tapered maximum likelihood estimators

Their papers

• A General Framework for Vecchia Approximations of Gaussian Processes (2017) — 333 citations
• A Case Study Competition Among Methods for Analyzing Large Spatial Data (2017) — 458 citations