Spatio-Temporal Data Fusion for Very Large Remote Sensing Datasets

Bayesian hierarchical spatio-temporal smoothing for very large datasets

(2012) Matthias Katzfuss et al.   ENVIRONMETRICS

An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach

(2011) Finn Lindgren et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Spatio-temporal smoothing and EM estimation for massive remote-sensing data sets

(2011) Matthias Katzfuss et al.   JOURNAL OF TIME SERIES ANALYSIS

The Total Carbon Column Observing Network

(2011) D. Wunch et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Fixed Rank Filtering for Spatio-Temporal Data

(2010) Noel Cressie et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

A geostatistical data fusion technique for merging remote sensing and ground-based observations of aerosol optical thickness

(2010) Abhishek Chatterjee et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Fixed rank kriging for very large spatial data sets

(2010) Noel Cressie et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Nonstationary covariance models for global data

(2009) Mikyoung Jun et al.   Annals of Applied Statistics

Oceanic sources, sinks, and transport of atmospheric CO2

(2009) Nicolas Gruber et al.   GLOBAL BIOGEOCHEMICAL CYCLES

Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models

(2008) Emily L. Kang et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Satellite remote sounding of mid-tropospheric CO2

(2008) M. T. Chahine et al.   GEOPHYSICAL RESEARCH LETTERS

Gaussian predictive process models for large spatial data sets

(2008) Sudipto Banerjee et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY