The following pages link to Model-Based Geostatistics (Q4216151):
Displaying 50 items.
- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (Q68580) (← links)
- A class of random fields with two-piece marginal distributions for modeling point-referenced data with spatial outliers (Q69407) (← links)
- Modelling Point Referenced Spatial Count Data: A Poisson Process Approach (Q69412) (← links)
- Evaluation of Combinatorial Optimisation Algorithms for c-Optimal Experimental Designs with Correlated Observations (Q73947) (← links)
- Spatial Variable Selection and An Application to Virginia Lyme Disease Emergence (Q147727) (← links)
- Approximate Bayesian inference for hierarchical Gaussian Markov random field models (Q148994) (← links)
- Optimal design in geostatistics under preferential sampling (Q273629) (← links)
- Restricted covariance priors with applications in spatial statistics (Q273651) (← links)
- Generalized linear spatial models to predict slate exploitability (Q364424) (← links)
- Detection and mitigation of sinkhole attacks in wireless sensor networks (Q389394) (← links)
- Hierarchical Poisson models for spatial count data (Q391903) (← links)
- Data augmentation strategies for the Bayesian spatial probit regression model (Q425634) (← links)
- Approximate Bayesian inference for large spatial datasets using predictive process models (Q434887) (← links)
- Asymptotic normality of posterior distributions for generalized linear mixed models (Q444957) (← links)
- A general framework for the parametrization of hierarchical models (Q449750) (← links)
- Optimal predictive design augmentation for spatial generalised linear mixed models (Q451220) (← links)
- Estimating inter-group interaction radius for point processes with nested spatial structures (Q452647) (← links)
- A spatio-temporal dynamic regression model for extreme wind speeds (Q488093) (← links)
- Non-nested testing of spatial correlation (Q494415) (← links)
- An overview of approaches to the analysis and modelling of multivariate geostatistical data (Q500627) (← links)
- Book review of: J.-P. Chilés and P. Delfiner, Geostatistics. Modeling spatial uncertainty. 2nd ed. (Q500728) (← links)
- Inference with a contrast-based posterior distribution and application in spatial statistics (Q537383) (← links)
- Development of the kriging method with application. (Q558550) (← links)
- Accounting for roughness of circular processes: using Gaussian random processes to model the anisotropic spread of airborne plant disease (Q615405) (← links)
- A general science-based framework for dynamical spatio-temporal models (Q619127) (← links)
- Variable selection for nonparametric Gaussian process priors: Models and computational strategies (Q635421) (← links)
- Gaussian process classification: Singly versus doubly stochastic models, and new computational schemes (Q637979) (← links)
- On composite marginal likelihoods (Q732228) (← links)
- Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data (Q830598) (← links)
- Bayesian spatial modelling of gamma ray count data (Q862442) (← links)
- Bayesian modelling of spatial data using Markov random fields, with application to elemental composition of forest soil (Q862444) (← links)
- A loss function approach to identifying environmental exceedances (Q881403) (← links)
- A data cloning algorithm for computing maximum likelihood estimates in spatial generalized linear mixed models (Q901553) (← links)
- Approximate Bayesian inference in spatial GLMM with skew normal latent variables (Q901561) (← links)
- Population counts along elliptical habitat contours: hierarchical modeling using Poisson-lognormal mixtures with nonstationary spatial structure (Q902912) (← links)
- An evaluation of non-parametric relative risk estimators for disease maps (Q956989) (← links)
- Quasi-Monte Carlo sampling to improve the efficiency of Monte Carlo EM (Q957148) (← links)
- Pairwise likelihood inference in spatial generalized linear mixed models (Q957292) (← links)
- A model for non-parametric spatially varying regression effects (Q959170) (← links)
- Smooth-CAR mixed models for spatial count data (Q961733) (← links)
- Spatial latent class analysis model for spatially distributed multivariate binary data (Q961745) (← links)
- Mapping malaria risk in West Africa using a Bayesian nonparametric non-stationary model (Q961795) (← links)
- Mixtures of GAMs for habitat suitability analysis with overdispersed presence/absence data (Q962396) (← links)
- Hierarchical spatial models for predicting tree species assemblages across large domains (Q985023) (← links)
- Propriety of posteriors in structured additive regression models: Theory and empirical evi\-dence (Q1007463) (← links)
- Parallel exact sampling and evaluation of Gaussian Markov random fields (Q1019927) (← links)
- Computational techniques for spatial logistic regression with large data sets (Q1019998) (← links)
- Residual-based specification of a hidden random field included in a hierarchical spatial model (Q1020747) (← links)
- Conditional-mean least-squares fitting of Gaussian Markov random fields to Gaussian fields (Q1023610) (← links)
- Does a Gibbs sampler approach to spatial Poisson regression models outperform a single site MH sampler? (Q1023764) (← links)
