Hierarchical Spatial and Spatio-Temporal Modeling of Massive Datasets, with Application to Global Mapping of CO<sub>2</sub>

Hierarchical Spatial and Spatio-Temporal Modeling of Massive Datasets, with Application to Global Mapping of CO<sub>2</sub>

Bibliographic Details
Main Author: Katzfuss, Matthias
Language:English
Published: The Ohio State University / OhioLINK 2011
Subjects:
Statistics
AIRS instrument
EM algorithm
spatio-temporal statistics
fixed rank smoothing
global CO<sub>2</sub>
Bayesian hierarchical modeling
dimension reduction
varying model dimension
random basis functions
RJMCMC
tapered covariance
nonstationarity
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=osu1308316063

Internet

http://rave.ohiolink.edu/etdc/view?acc_num=osu1308316063

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