Matthias Katzfuss
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; #3,118 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; #24,394 of 35,345 by trust here, #30,347 by citations
- Applied Mathematics — 10 citations into it
- Computational Theory and Mathematics — 5 citations into it; #8,326 of 12,182 by trust here, #11,946 by citations
Whom Matthias Katzfuss trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael L. Stein
- Tamer Basar
- Robert B. Gramacy
- Noel Cressie
- Edward Snelson
- Sudipto Banerjee
- Zoubin Ghahramani
- D. Higdon
- Michael I. Jordan
- Herbert K. H. Lee
Who trusts Matthias Katzfuss overall
Papers from Matthias Katzfuss's perspective
Ordered by how strongly the researchers Matthias Katzfuss trusts endorse each paper. Same corpus, a different order for every researcher.
- Interpolation of spatial data
- The Nature of Statistical Learning Theory
- Hierarchical Modeling and Analysis for Spatial Data
- Covariance Tapering for Interpolation of Large Spatial Datasets
- Statistical Methods for Spatial Data Analysis
- Space and Space-Time Modeling using Process Convolutions
- A Multiresolution Gaussian Process Model for the Analysis of Large Spatial Datasets
- AN OVERVIEW OF COMPOSITE LIKELIHOOD METHODS
- A process-convolution approach to modelling temperatures in the North Atlantic Ocean
- On fixed-domain asymptotics and covariance tapering in Gaussian random field models
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