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Title: Bayesian and Maximum Likelihood Estimation for Gaussian Processes on an Incomplete Lattice

Journal Article · · Journal of Computational and Graphical Statistics
 [1];  [2];  [3]
  1. McDonough School of Business, Georgetown University, Washington, DC
  2. Department of Statistics, University of Chicago, Chicago, Illinois
  3. Quantitative Marketing, Google, Inc., Boulder, Colorado
+ Show Author Affiliations

Not provided.

Research Organization:
Montana State Univ., Bozeman, MT (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
DOE Contract Number:
SC0011097
OSTI ID:
1535403
Journal Information:
Journal of Computational and Graphical Statistics, Vol. 26, Issue 1; ISSN 1061-8600
Publisher:
Taylor & Francis
Country of Publication:
United States
Language:
English

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Bayesian Variogram Modeling for an Isotropic Spatial Process journal December 1997
Estimation and Prediction in Spatial Models With Block Composite Likelihoods journal April 2014
FFTW: an adaptive software architecture for the FFT
  • Frigo, M.; Johnson, S. G.
  • 1998 IEEE International Conference on Acoustics, Speech, and Signal Processing, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181) https://doi.org/10.1109/ICASSP.1998.681704
conference January 1998
Approximate Likelihood for Large Irregularly Spaced Spatial Data journal March 2007
Fast and Exact Simulation of Large Gaussian Lattice Systems in ℝ 2 : Exploring the Limits journal September 2006
Parameter estimation for a stationary process on a d -dimensional lattice journal January 1982
A Bayesian Analysis of Kriging journal November 1993
An Approach to Statistical Spatial-Temporal Modeling of Meteorological Fields journal June 1994
A spatiotemporal model for Mexico City ozone levels journal April 2004
Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets journal December 2008
Generation of “Similar” Images from a Given Discrete Image journal June 2000
An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach: Link between Gaussian Fields and Gaussian Markov Random Fields journal August 2011
Covariance structure of the Gibbs sampler with applications to the comparisons of estimators and augmentation schemes journal March 1994
A Simple Substitute for Conditional Expectation : The Disjunctive Kriging book January 1976
Gaussian Markov Random Fields: Theory and Applications book February 2005
A full scale approximation of covariance functions for large spatial data sets: Approximation of Covariance Functions for Large Data Sets journal October 2011
Fast and Exact Simulation of Fractional Brownian Surfaces journal September 2002
Stochastic approximation of score functions for Gaussian processes journal June 2013
Approximating likelihoods for large spatial data sets journal May 2004
On Stationary Processes in the Plane journal January 1954
Computationally efficient restricted maximum likelihood estimation of generalized covariance functions journal October 1989

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Related Subjects

Mathematics