Pages that link to "Item:Q3078941"
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The following pages link to Bayesian Prediction of Spatial Count Data Using Generalized Linear Mixed Models (Q3078941):
Displaying 47 items.
- Modelling Point Referenced Spatial Count Data: A Poisson Process Approach (Q69412) (← links)
- Bayesian spatial models with repeated measurements: with application to the herbaceous data analysis (Q257521) (← links)
- Generalized linear spatial models to predict slate exploitability (Q364424) (← links)
- Hierarchical Poisson models for spatial count data (Q391903) (← 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)
- Nonlinear predictive latent process models for integrating spatio-temporal exposure data from multiple sources (Q484017) (← links)
- On composite marginal likelihoods (Q732228) (← links)
- Estimating abundance from counts in large data sets of irregularly spaced plots using spatial basis functions (Q894826) (← 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)
- Genomic prediction models for count data (Q906073) (← links)
- Pairwise likelihood inference in spatial generalized linear mixed models (Q957292) (← links)
- Computational techniques for spatial logistic regression with large data sets (Q1019998) (← links)
- Does a Gibbs sampler approach to spatial Poisson regression models outperform a single site MH sampler? (Q1023764) (← links)
- Multivariate geostatistical mapping of radioactive contamination in the Maddalena Archipelago (Sardinia, Italy): spatial special issue (Q1621240) (← links)
- Multiscale structure of UXO site characterization: spatial estimation and uncertainty quantification (Q1731550) (← links)
- Spatial models for point and areal data using Markov random fields on a fine grid (Q1951143) (← links)
- Methods to compute prediction intervals: a review and new results (Q2092900) (← links)
- Estimation and prediction for spatial generalized linear mixed models using high order Laplace approximation (Q2276187) (← links)
- A clipped latent variable model for spatially correlated ordered categorical data (Q2445652) (← links)
- Bayesian prediction for spatial generalised linear mixed models with closed skew normal latent variables (Q2802781) (← links)
- Efficient estimation and prediction for the Bayesian binary spatial model with flexible link functions (Q2805224) (← links)
- Likelihood Inference for Spatial Generalized Linear Mixed Models (Q2943787) (← links)
- A Hierarchical Bayesian Model for Spatial Prediction of Multivariate Non-Gaussian Random Fields (Q3008861) (← links)
- On Estimation and Prediction for Spatial Generalized Linear Mixed Models (Q3078912) (← links)
- Prediction Performance of Correlated Error Procedures for Spatial Counts (Q3155609) (← links)
- Bayesian Spatial-Temporal Modeling of Ecological Zero-Inflated Count Data (Q3195197) (← links)
- A spatial model with ordinal responses for grazing impact data (Q3429992) (← links)
- Aberrant Crypt Foci and Semiparametric Modeling of Correlated Binary Data (Q3506500) (← links)
- A simulation comparison on spatial Poisson mixed models (Q4638817) (← links)
- Approximating Hidden Gaussian Markov Random Fields (Q4670799) (← links)
- Approximate composite marginal likelihood inference in spatial generalized linear mixed models (Q5036532) (← links)
- Reduced-Dimensional Monte Carlo Maximum Likelihood for Latent Gaussian Random Field Models (Q5066383) (← links)
- Areal prediction of survey data using Bayesian spatial generalised linear models (Q5083913) (← links)
- Generalized linear spatial models in epidemiology: A case study of zoonotic cutaneous leishmaniasis in Tunisia (Q5123508) (← links)
- A non-stationary spatial generalized linear mixed model approach for studying plant diversity (Q5124878) (← links)
- Adjacency-Clustering and Its Application for Yield Prediction in Integrated Circuit Manufacturing (Q5131538) (← links)
- Scaling Limits for the Transient Phase of Local Metropolis–Hastings Algorithms (Q5313588) (← links)
- Analyzing Spatially Distributed Binary Data Using Independent‐Block Estimating Equations (Q5434923) (← links)
- Spatio‐temporal smoothing and EM estimation for massive remote‐sensing data sets (Q5495689) (← links)
- Predictive Model Assessment for Count Data (Q5850975) (← links)
- Models for Geostatistical Binary Data: Properties and Connections (Q5869252) (← links)
- Practical likelihood analysis for spatial generalized linear mixed models (Q6179616) (← links)
- Assessing minimum contrast parameter estimation for spatial and spatiotemporal log-Gaussian Cox processes (Q6552765) (← links)
- Bayesian geostatistical modeling for discrete-valued processes (Q6626617) (← links)