Pages that link to "Item:Q3631452"
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The following pages link to Fixed Rank Kriging for Very Large Spatial Data Sets (Q3631452):
Displaying 41 items.
- Bayesian spatial and spatiotemporal models based on multiscale factorizations (Q6602108) (← links)
- 30 years of space-time covariance functions (Q6602109) (← links)
- Nearest-neighbor sparse Cholesky matrices in spatial statistics (Q6602373) (← links)
- Spatial Statistical Downscaling for Constructing High-Resolution Nature Runs in Global Observing System Simulation Experiments (Q6621646) (← links)
- Bayesian spatial models for voxel-wise prostate cancer classification using multi-parametric magnetic resonance imaging data (Q6622252) (← links)
- Resolution Adaptive Fixed Rank Kriging (Q6622421) (← links)
- Meta-Kriging: Scalable Bayesian Modeling and Inference for Massive Spatial Datasets (Q6622449) (← links)
- Multilevel approximation of Gaussian random fields: covariance compression, estimation, and spatial prediction (Q6624469) (← links)
- On estimation and prediction of geostatistical regression models via a corrected Stein's unbiased risk estimator (Q6625826) (← links)
- Design of monitoring networks using \(k\)-determinantal point processes (Q6625891) (← links)
- Spatial regression with an informatively missing covariate: application to mapping fine particulate matter (Q6625913) (← links)
- A large-scale spatio-temporal binomial regression model for estimating seroprevalence trends (Q6626025) (← links)
- Axially symmetric models for global data: a journey between geostatistics and stochastic generators (Q6626034) (← links)
- Nonseparable covariance models on circles cross time: a study of Mexico City ozone (Q6626087) (← links)
- An additive approximate Gaussian process model for large spatio-temporal data (Q6626104) (← links)
- Computationally efficient nonstationary nearest-neighbor Gaussian process models using data-driven techniques (Q6626105) (← links)
- Spatio-temporal data fusion for massive sea surface temperature data from MODIS and AMSR-E instruments (Q6626131) (← links)
- Modeling sea-level processes on the U.S. Atlantic Coast (Q6626149) (← links)
- Incorporating covariate information in the covariance structure of misaligned spatial data (Q6626170) (← links)
- Modeling spatial data using local likelihood estimation and a Matérn to spatial autoregressive translation (Q6626172) (← links)
- Stochastic tropical cyclone precipitation field generation (Q6626533) (← links)
- Large-scale environmental data science with ExaGeoStatR (Q6626535) (← links)
- A double fixed rank kriging approach to spatial regression models with covariate measurement error (Q6626536) (← links)
- Reds: random ensemble deep spatial prediction (Q6626548) (← links)
- A Bayesian change point modeling approach to identify local temperature changes related to urbanization (Q6626584) (← links)
- Multivariate nearest-neighbors Gaussian processes with random covariance matrices (Q6626655) (← links)
- Recursive nearest neighbor co-kriging models for big multi-fidelity spatial data sets (Q6626668) (← links)
- Spatial process decomposition for quantitative imaging biomarkers using multiple images of varying shapes (Q6627650) (← links)
- Estimating mixture effects and cumulative spatial risk over time simultaneously using a Bayesian index low-rank kriging multiple membership model (Q6629411) (← links)
- PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models (Q6631059) (← links)
- Sensitivity Prewarping for Local Surrogate Modeling (Q6631098) (← links)
- A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets (Q6631117) (← links)
- A Subsampling Method for Regression Problems Based on Minimum Energy Criterion (Q6631125) (← links)
- A Scalable Gaussian Process for Large-Scale Periodic Data (Q6631142) (← links)
- Coexchangeable Process Modeling for Uncertainty Quantification in Joint Climate Reconstruction (Q6631673) (← links)
- Boundary Detection Using a Bayesian Hierarchical Model for Multiscale Spatial Data (Q6631866) (← links)
- The Reconstruction Approach: From Interpolation to Regression (Q6631882) (← links)
- Sequential Model-Based Optimization for Continuous Inputs with Finite Decision Space (Q6636569) (← links)
- Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery (Q6645130) (← links)
- Efficient Stochastic Generators with Spherical Harmonic Transformation for High-Resolution Global Climate Simulations from CESM2-LENS2 (Q6651353) (← links)
- The third competition on spatial statistics for large datasets (Q6655988) (← links)
