Multivariate spatio-temporal models for high-dimensional areal data with application to longitudinal employer-household dynamics
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Publication:262346
DOI10.1214/15-AOAS862zbMath1397.62356arXiv1503.00982OpenAlexW1529161908MaRDI QIDQ262346
Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan
Publication date: 29 March 2016
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1503.00982
Markov chain Monte CarloKalman filterBayesian hierarchical modellongitudinal employer-household dynamics (LEHD) programMoran's I basismultivariate spatio-temporal data
Directional data; spatial statistics (62H11) Applications of statistics to economics (62P20) Inference from spatial processes (62M30)
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Uses Software
Cites Work
- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
- A comparison of spatial predictors when datasets could be very large
- Bayesian semiparametric hierarchical empirical likelihood spatial models
- Improving the performance of predictive process modeling for large datasets
- Computing a nearest symmetric positive semidefinite matrix
- Inference from iterative simulation using multiple sequences
- A spatial filtering specification for the auto-Poisson model.
- Comparing and selecting spatial predictors using local criteria
- Small Area Estimation via Multivariate Fay-Herriot Models with Latent Spatial Dependence
- Fixed-Width Output Analysis for Markov Chain Monte Carlo
- Bayesian latent variable modelling of multivariate spatio-temporal variation in cancer mortality
- Fixed Rank Kriging for Very Large Spatial Data Sets
- Gaussian Predictive Process Models for Large Spatial Data Sets
- DATA AUGMENTATION AND DYNAMIC LINEAR MODELS
- On Gibbs sampling for state space models
- Time Series Analysis of Repeated Surveys: The State-space Approach
- Classes of Nonseparable, Spatio-Temporal Stationary Covariance Functions
- Using temporal variability to improve spatial mapping with application to satellite data
- Hierarchical Spatial Process Models for Multiple Traits in Large Genetic Trials
- Effects of Residual Smoothing on the Posterior of the Fixed Effects in Disease‐Mapping Models
- Generalized Linear Latent Variable Models for Repeated Measures of Spatially Correlated Multivariate Data
- Space–Time Covariance Functions
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