A hierarchical approach to scalable Gaussian process regression for spatial data
Year of publication: |
2021
|
---|---|
Authors: | Dearmon, Jacob ; Smith, Tony E. |
Subject: | Gaussian process regression | Spatial econometrics | Kriging | Nyström approximation | Hierarchical matrix | Ökonometrie | Econometrics | Gauß-Prozess | Gaussian process | Schätztheorie | Estimation theory | Räumliche Statistik | Spatial statistics | Statistische Verteilung | Statistical distribution | Regionalökonomik | Regional economics | Stochastischer Prozess | Stochastic process |
-
Spatial econometrics for misaligned data
Pouliot, Guillaume Allaire, (2023)
-
Efficient estimation of spatial econometric interaction models for sparse OD matrices
Dargel, Lukas, (2023)
-
Gibbons, Steve, (2014)
- More ...
-
Dearmon, Jacob, (2017)
-
Dearmon, Jacob, (2016)
-
Trust and parameter heterogeneity in the neoclassical growth model
Dearmon, Jacob, (2012)
- More ...