Gaussian orthogonal latent factor processes for large incomplete matrices of correlated data
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Publication:6121983
DOI10.1214/21-ba1295arXiv2011.10863OpenAlexW3106962423MaRDI QIDQ6121983
Publication date: 27 February 2024
Published in: Bayesian Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2011.10863
Cites Work
- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
- Tensor Decompositions and Applications
- Bayesian forecasting and dynamic models.
- Bayesian emulation of complex multi-output and dynamic computer models
- Design and analysis of computer experiments. With comments and a rejoinder by the authors
- Calibration of computer models with multivariate output
- A case study competition among methods for analyzing large spatial data
- Jointly robust prior for Gaussian stochastic process in emulation, calibration and variable selection
- Nonstationary multivariate process modeling through spatially varying coregionalization
- Default priors for Gaussioan processes
- Bayesian Calibration of Computer Models
- Simultaneous Credible Bands for Latent Gaussian Models
- Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
- Fast Nonseparable Gaussian Stochastic Process With Application to Methylation Level Interpolation
- Handbook of Spatial Statistics
- Fixed Rank Kriging for Very Large Spatial Data Sets
- Gaussian Predictive Process Models for Large Spatial Data Sets
- Computer Model Calibration Using High-Dimensional Output
- Probabilistic Principal Component Analysis
- Templates for the Solution of Algebraic Eigenvalue Problems
- Statistics for Spatial Data
- Dynamic Linear Models with R
- Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets
- A general framework for Vecchia approximations of Gaussian processes
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