Fixed-domain asymptotics under Vecchia's approximation of spatial process likelihoods
From MaRDI portal
Publication:6621340
DOI10.5705/SS.202021.0428MaRDI QIDQ6621340
Sudipto Banerjee, Wenpin Tang, Lu Zhang
Publication date: 18 October 2024
Published in: STATISTICA SINICA (Search for Journal in Brave)
spatial statisticsGaussian processesfixed-domain asymptoticsmicroergodic parametersMatérn covariance function
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes
- Uniform asymptotic optimality of linear predictions of a random field using an incorrect second-order structure
- Fixed-domain asymptotic properties of tapered maximum likelihood estimators
- Spatial variation. 2nd ed
- Interpolation of spatial data. Some theory for kriging
- Predicting random fields with increasing dense observations
- Asymptotic behavior of the prediction error for stationary random sequences
- High-dimensional Bayesian geostatistics
- Bounds on the efficiency of linear predictions using an incorrect covariance function
- On fixed-domain asymptotics and covariance tapering in Gaussian random field models
- Fixed-domain asymptotic properties of maximum composite likelihood estimators for Gaussian processes
- A case study competition among methods for analyzing large spatial data
- Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis
- Interpolation und Extrapolation von stationären zufälligen Folgen.
- Towards reconciling two asymptotic frameworks in spatial statistics
- An Asymptotic Result for the Finite Predictor.
- Extrapolation and Interpolation of Stationary Gaussian Processes
- Approximating Likelihoods for Large Spatial Data Sets
- Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments†
- On Identifiability and Consistency of The Nugget in Gaussian Spatial Process Models
- The role of the range parameter for estimation and prediction in geostatistics
- Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics
- On the Asymptotic Behavior of the Prediction Error
- Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains
- A general framework for Vecchia approximations of Gaussian processes
- Permutation and Grouping Methods for Sharpening Gaussian Process Approximations
This page was built for publication: Fixed-domain asymptotics under Vecchia's approximation of spatial process likelihoods
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6621340)