Computationally efficient multivariate spatio-temporal models for high-dimensional count-valued data (with discussion)

DOI10.1214/17-BA1069zbMath1392.62148arXiv1711.06477OpenAlexW3121757393MaRDI QIDQ1752017

Scott H. Holan, Jonathan R. Bradley, Christopher K. Wikle

Publication date: 25 May 2018

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1711.06477

zbMATH Keywords

aggregationMarkov chain Monte CarloBayesian hierarchical modelbig datalongitudinal employer-household dynamics (LEHD) programnon-GaussianAmerican community surveyquarterly workforce indicators

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Applications of statistics to environmental and related topics (62P12)

Related Items (17)

Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data ⋮ Bayesian nonparametric multivariate spatial mixture mixed effects models with application to American Community Survey special tabulations ⋮ Multi-Resolution Filters for Massive Spatio-Temporal Data ⋮ Count Time Series: A Methodological Review ⋮ Latent multivariate log-gamma models for high-dimensional multitype responses with application to daily fine particulate matter and mortality counts ⋮ Joint Bayesian analysis of multiple response-types using the hierarchical generalized transformation model ⋮ Modeling Massive Highly Multivariate Nonstationary Spatial Data with the Basis Graphical Lasso ⋮ Spatial heterogeneity automatic detection and estimation ⋮ Dynamic spatio-temporal zero-inflated Poisson models for predicting capelin distribution in the Barents Sea ⋮ Nearest-neighbor mixture models for non-Gaussian spatial processes ⋮ Estimating Spatial Changes Over Time of Arctic Sea Ice using Hidden 2×2 Tables ⋮ Spatio‐temporal models for big multinomial data using the conditional multivariate logit‐beta distribution ⋮ Efficient Posterior Sampling for Bayesian Poisson Regression ⋮ Bayesian inference of spatio-temporal changes of arctic sea ice ⋮ Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family ⋮ Computationally efficient multivariate spatio-temporal models for high-dimensional count-valued data (with discussion) ⋮ A general Bayesian model for heteroskedastic data with fully conjugate full-conditional distributions

Uses Software

• SDaA
• FRK

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Disease mapping and spatial regression with count data
• Multivariate spatio-temporal models for high-dimensional areal data with application to longitudinal employer-household dynamics
• A comparison of spatial predictors when datasets could be very large
• Hierarchical Poisson models for spatial count data
• Hierarchical Bayesian spatio-temporal Conway-Maxwell Poisson models with dynamic dispersion
• On a multivariate log-gamma distribution and the use of the distribution in the Bayesian analysis
• Characterization of infinitely divisible multivariate gamma distributions
• Which multivariate gamma distributions are infinitely divisible?
• Inference from iterative simulation using multiple sequences
• Computationally efficient multivariate spatio-temporal models for high-dimensional count-valued data (with discussion)
• Spatio-temporal covariance functions generated by mixtures
• A spatial filtering specification for the auto-Poisson model.
• A dynamic nonstationary spatio-temporal model for short term prediction of precipitation
• Monte Carlo strategies in scientific computing.
• The Torus-Equivariant Cohomology of Nilpotent Orbits
• Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
• Adding Spatially-Correlated Errors Can Mess Up the Fixed Effect You Love
• HGLMs for analysis of correlated non-normal data
• Fixed-Width Output Analysis for Markov Chain Monte Carlo
• Fixed Rank Kriging for Very Large Spatial Data Sets
• A log gamma model and its maximum likelihood estimation
• Poisson/gamma random field models for spatial statistics
• Model-Based Geostatistics
• Spatiotemporal Hierarchical Bayesian Modeling Tropical Ocean Surface Winds
• A note on the correlation structure of transformed Gaussian random fields
• Bayesian Measures of Model Complexity and Fit
• Multivariate output analysis for Markov chain Monte Carlo
• Order-Free Co-Regionalized Areal Data Models with Application to Multiple-Disease Mapping
• Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models
• Effects of Residual Smoothing on the Posterior of the Fixed Effects in Disease‐Mapping Models
• Proper multivariate conditional autoregressive models for spatial data analysis
• Double Hierarchical Generalized Linear Models (With Discussion)
• NOTES ON CONTINUOUS STOCHASTIC PHENOMENA

This page was built for publication: Computationally efficient multivariate spatio-temporal models for high-dimensional count-valued data (with discussion)