Pages that link to "Item:Q311779"
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The following pages link to A comparison of spatial predictors when datasets could be very large (Q311779):
Displaying 29 items.
- Multivariate spatio-temporal models for high-dimensional areal data with application to longitudinal employer-household dynamics (Q262346) (← links)
- Parallel inference for massive distributed spatial data using low-rank models (Q518241) (← links)
- Spherical process models for global spatial statistics (Q1704699) (← links)
- Computationally efficient multivariate spatio-temporal models for high-dimensional count-valued data (with discussion) (Q1752017) (← links)
- Kryging: geostatistical analysis of large-scale datasets using Krylov subspace methods (Q2080350) (← links)
- Competition on spatial statistics for large datasets (Q2084448) (← links)
- Discovering optimally representative dynamical locations (ORDL) in big multivariate spatiotemporal data: a case study of precipitation in Australia from space to ground sensors (Q2110042) (← links)
- Bayesian nonparametric multivariate spatial mixture mixed effects models with application to American Community Survey special tabulations (Q2135345) (← links)
- Computationally efficient Bayesian unit-level models for non-Gaussian data under informative sampling with application to estimation of health insurance coverage (Q2154185) (← links)
- A scalable Bayesian nonparametric model for large spatio-temporal data (Q2184402) (← links)
- A case study competition among methods for analyzing large spatial data (Q2272997) (← links)
- Comments on: ``Comparing and selecting spatial predictors using local criteria'' (Q2348713) (← links)
- Mission CO<sub>2</sub>ntrol: A Statistical Scientist's Role in Remote Sensing of Atmospheric Carbon Dioxide (Q4690936) (← links)
- Comment (Q4690942) (← links)
- Rejoinder (Q4690943) (← links)
- A Fused Gaussian Process Model for Very Large Spatial Data (Q5065995) (← links)
- Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family (Q5146051) (← links)
- Spatial Homogeneity Pursuit of Regression Coefficients for Large Datasets (Q5242448) (← links)
- Spatio‐temporal models for big multinomial data using the conditional multivariate logit‐beta distribution (Q5377202) (← links)
- Discussion on competition for spatial statistics for large datasets (Q5970758) (← links)
- Comments on: ``Comparing and selecting spatial predictors using local criteria'' (Q5971081) (← links)
- Comments on: ``Comparing and selecting spatial predictors using local criteria'' (Q5971083) (← links)
- Latent multivariate log-gamma models for high-dimensional multitype responses with application to daily fine particulate matter and mortality counts (Q6104100) (← links)
- Nearest-neighbor sparse Cholesky matrices in spatial statistics (Q6602373) (← links)
- Resolution Adaptive Fixed Rank Kriging (Q6622421) (← links)
- Incorporating covariate information in the covariance structure of misaligned spatial data (Q6626170) (← links)
- Large-scale environmental data science with ExaGeoStatR (Q6626535) (← links)
- PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models (Q6631059) (← links)
- A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets (Q6631117) (← links)
