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PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models

Journal Article · · Technometrics
 [1];  [2]
  1. Department of Statistics, George Mason University, Fairfax, VA
  2. Department of Statistics, Pennsylvania State University, University Park, PA

Not provided.

Research Organization:
Stanford Univ., CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
DOE Contract Number:
SC0016162
OSTI ID:
1979199
Journal Information:
Technometrics, Vol. 64, Issue 2; ISSN 0040-1706
Publisher:
Taylor & Francis
Country of Publication:
United States
Language:
English

References (44)

Bayesian Analysis of Binary and Polychotomous Response Data journal June 1993
Efficient Gaussian process regression for large datasets journal December 2012
Gaussian predictive process models for large spatial data sets journal September 2008
Disease Mapping with Errors in Covariates journal April 1997
Bayesian image restoration, with two applications in spatial statistics journal March 1991
Sparse Bayesian infinite factor models journal May 2011
A comparison of spatial predictors when datasets could be very large journal January 2016
Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family journal December 2019
Stan : A Probabilistic Programming Language journal January 2017
Robust Markov chain Monte Carlo Methods for Spatial Generalized Linear Mixed Models journal March 2006
Fixed rank kriging for very large spatial data sets: Fixed Rank Kriging journal January 2008
Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets journal April 2016
Bayesian prediction of clipped Gaussian random fields journal September 2000
Programming With Models: Writing Statistical Algorithms for General Model Structures With NIMBLE journal October 2016
Model-based geostatistics journal March 1998
Covariance Tapering for Interpolation of Large Spatial Datasets journal September 2006
Spatial Modeling With Spatially Varying Coefficient Processes journal June 2003
A Computationally Efficient Projection-Based Approach for Spatial Generalized Linear Mixed Models journal October 2018
Adaptive Gaussian predictive process models for large spatial datasets journal October 2011
Accelerating Computation in Markov Random Field Models for Spatial Data via Structured MCMC journal June 2003
A Case Study Competition Among Methods for Analyzing Large Spatial Data journal December 2018
A process-convolution approach to modelling temperatures in the North Atlantic Ocean journal January 1998
Computer Model Calibration Using High-Dimensional Output journal June 2008
A clipped latent variable model for spatially correlated ordered categorical data journal August 2010
Dimension reduction and alleviation of confounding for spatial generalized linear mixed models journal October 2012
A Multi-Resolution Approximation for Massive Spatial Datasets journal January 2017
Bayesian cumulative shrinkage for infinite factorizations journal May 2020
ARPACK Users' Guide book January 1998
Bayesian Spatial Modelling with R - INLA journal January 2015
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
An Efficient Surrogate Model for Emulation and Physics Extraction of Large Eddy Simulations journal June 2018
Notes on Continuous Stochastic Phenomena journal January 1950
Estimation and inference in spatially varying coefficient models journal December 2017
Bayesian Analysis of Measurement Error Models Using Integrated Nested Laplace Approximations
  • Muff, Stefanie; Riebler, Andrea; Held, Leonhard
  • Journal of the Royal Statistical Society Series C: Applied Statistics, Vol. 64, Issue 2 https://doi.org/10.1111/rssc.12069
journal July 2014
A Multiresolution Gaussian Process Model for the Analysis of Large Spatial Datasets journal April 2015
Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations journal April 2009
Hierarchical statistical modeling of big spatial datasets using the exponential family of distributions journal May 2013
Predictive Inference for Big, Spatial, Non‐Gaussian Data: MODIS Cloud Data and its Change‐of‐Support journal March 2016
Interpolation of Spatial Data book January 1999
Statistical Properties of Covariance Tapers journal October 2013
Limitations on low rank approximations for covariance matrices of spatial data journal May 2014
Hierarchical Bayesian space-time models journal June 1998
Spatio-temporal models with errors in covariates: mapping Ohio lung cancer mortality journal September 1998
Vecchia–Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data journal January 2021