The following pages link to FRK (Q31002):
Displaying 31 items.
- Dynamically Updated Spatially Varying Parameterizations of Hierarchical Bayesian Models for Spatial Data (Q3391187) (← links)
- Fast Nonseparable Gaussian Stochastic Process With Application to Methylation Level Interpolation (Q3391424) (← links)
- Uncertainty Quantification Using the Nearest Neighbor Gaussian Process (Q4556968) (← links)
- Fast Spatial Gaussian Process Maximum Likelihood Estimation via Skeletonization Factorizations (Q4601605) (← links)
- Gaussian processes for computer experiments (Q4606435) (← 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 Unified Framework for Fitting Bayesian Semiparametric Models to Arbitrarily Censored Survival Data, Including Spatially Referenced Data (Q4962423) (← links)
- A Distributed and Integrated Method of Moments for High-Dimensional Correlated Data Analysis (Q4999158) (← links)
- Modeling Nonstationary and Asymmetric Multivariate Spatial Covariances via Deformations (Q5041347) (← links)
- On Deconfounding Spatial Confounding in Linear Models (Q5050818) (← links)
- Making Recursive Bayesian Inference Accessible (Q5056965) (← links)
- Partition-Based Nonstationary Covariance Estimation Using the Stochastic Score Approximation (Q5057228) (← links)
- A Fused Gaussian Process Model for Very Large Spatial Data (Q5065995) (← links)
- Nonstationary Modeling With Sparsity for Spatial Data via the Basis Graphical Lasso (Q5066402) (← links)
- An Approach to Incorporate Subsampling Into a Generic Bayesian Hierarchical Model (Q5066475) (← links)
- Matrix Autoregressive Spatio-Temporal Models (Q5066496) (← links)
- Gaussian Process Prediction using Design-Based Subsampling (Q5066795) (← links)
- Data generation for axially symmetric processes on the sphere (Q5082648) (← links)
- Areal prediction of survey data using Bayesian spatial generalised linear models (Q5083913) (← links)
- A Monte Carlo approach to quantifying discrepancies between intractable posterior distributions (Q5106878) (← links)
- Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family (Q5146051) (← links)
- (Q5149246) (← links)
- Moving Least Squares Regression for High-Dimensional Stochastic Simulation Metamodeling (Q5270669) (← links)
- Estimation and selection for spatial confounding regression models (Q5875272) (← links)
- Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains (Q5885120) (← links)
- An adaptive spatial model for precipitation data from multiple satellites over large regions (Q5962747) (← links)
- Fast matrix computations for functional additive models (Q5963540) (← links)
- Discussion on competition on spatial statistics for large datasets (Q5970760) (← links)
- Comments on: process modeling for slope and aspect with application to elevation data maps (Q5970958) (← links)
