Discussing the ``big \(n\) problem
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Publication:257439
DOI10.1007/s10260-012-0207-2zbMath1333.62222OpenAlexW2022196329WikidataQ57014389 ScholiaQ57014389MaRDI QIDQ257439
Giovanna Jona Lasinio, Alessio Pollice, Gianluca Mastrantonio
Publication date: 17 March 2016
Published in: Statistical Methods and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10260-012-0207-2
Inference from spatial processes (62M30) Random fields; image analysis (62M40) Applications of statistics to environmental and related topics (62P12)
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- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
- Improving the performance of predictive process modeling for large datasets
- The kriged Kalman filter. (With discussion)
- Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree
- Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
- Local Prediction of a Spatio-Temporal Process with an Application to Wet Sulfate Deposition
- Fourier Analysis of Irregularly Spaced Data onRd
- On the Second‐Order Random Walk Model for Irregular Locations
- Fixed Rank Kriging for Very Large Spatial Data Sets
- Gaussian Predictive Process Models for Large Spatial Data Sets
- Fitting Gaussian Markov Random Fields to Gaussian Fields
- Approximating Likelihoods for Large Spatial Data Sets
- Gaussian Markov Random Fields
- Approximate Likelihood for Large Irregularly Spaced Spatial Data
- Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets
- Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics
- ON STATIONARY PROCESSES IN THE PLANE