Parallel inference for massive distributed spatial data using low-rank models

A Multi-Resolution Approximation for Massive Spatial Datasets

(2017) Matthias Katzfuss   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

A Multiresolution Gaussian Process Model for the Analysis of Large Spatial Datasets

(2015) Douglas Nychka et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Bayesian nonstationary spatial modeling for very large datasets

(2013) Matthias Katzfuss   ENVIRONMETRICS

Estimation and Prediction in Spatial Models With Block Composite Likelihoods

(2013) Jo Eidsvik et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Spatio-Temporal Data Fusion for Very Large Remote Sensing Datasets

(2013) Hai Nguyen et al.   TECHNOMETRICS

Limitations on low rank approximations for covariance matrices of spatial data

(2013) Michael L. Stein   Spatial Statistics

Bayesian hierarchical spatio-temporal smoothing for very large datasets

(2012) Matthias Katzfuss et al.   ENVIRONMETRICS

Estimating Space and Space-Time Covariance Functions for Large Data Sets: A Weighted Composite Likelihood Approach

(2012) Moreno Bevilacqua et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Spatial Statistical Data Fusion for Remote Sensing Applications

(2012) Hai Nguyen et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Covariance approximation for large multivariate spatial data sets with an application to multiple climate model errors

(2011) Huiyan Sang et al.   Annals of Applied Statistics

Cooperative adaptive sampling of random fields with partially known covariance

(2011) Rishi Graham et al.   INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

How Total Precipitable Water Vapor Anomalies Relate to Cloud Vertical Structure

(2011) John M. Forsythe et al.   JOURNAL OF HYDROMETEOROLOGY

Bayesian Inference for the Spatial Random Effects Model

(2011) Emily L. Kang et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

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

Adaptive Sampling for Learning Gaussian Processes Using Mobile Sensor Networks

(2011) Yunfei Xu et al.   SENSORS

Fixed Rank Filtering for Spatio-Temporal Data

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

Fixed rank kriging for very large spatial data sets

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

Distributed Kriged Kalman Filter for Spatial Estimation

(2009) J. Cortes   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

A Spatio-Temporal Model for Mean, Anomaly, and Trend Fields of North Atlantic Sea Surface Temperature

(2009) Ricardo T. Lemos et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

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

Improving the performance of predictive process modeling for large datasets

(2008) Andrew O. Finley et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Gaussian predictive process models for large spatial data sets

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