Pages that link to "Item:Q518241"
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The following pages link to Parallel inference for massive distributed spatial data using low-rank models (Q518241):
Displaying 13 items.
- Approximate inference for spatial functional data on massively parallel processors (Q1623412) (← links)
- Principles for statistical inference on big spatio-temporal data from climate models (Q1642392) (← links)
- Kryging: geostatistical analysis of large-scale datasets using Krylov subspace methods (Q2080350) (← links)
- Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering (Q2114043) (← links)
- Multi-scale process modelling and distributed computation for spatial data (Q2209724) (← links)
- A case study competition among methods for analyzing large spatial data (Q2272997) (← links)
- An area-specific stick breaking process for spatial data (Q2633423) (← links)
- Areal prediction of survey data using Bayesian spatial generalised linear models (Q5083913) (← links)
- Distributed nearest-neighbor Gaussian processes (Q6049859) (← links)
- Scalable spatio-temporal smoothing via hierarchical sparse Cholesky decomposition (Q6626523) (← links)
- Large-scale environmental data science with ExaGeoStatR (Q6626535) (← links)
- Spatio-temporal downscaling emulator for regional climate models (Q6626621) (← links)
- A Subsampling Method for Regression Problems Based on Minimum Energy Criterion (Q6631125) (← links)
