Pages that link to "Item:Q1583194"
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The following pages link to Bayesian prediction of clipped Gaussian random fields. (Q1583194):
Displaying 24 items.
- Modelling categorized levels of precipitation (Q398197) (← links)
- Data augmentation strategies for the Bayesian spatial probit regression model (Q425634) (← links)
- Modeling large scale species abundance with latent spatial processes (Q614156) (← links)
- Estimating threshold-exceeding probability maps of environmental variables with Markov chain random fields (Q1625520) (← links)
- Multi-rubric models for ordinal spatial data with application to online ratings data (Q1728631) (← links)
- A model for analyzing spatially correlated binary data clustered in uncorrelated lattices (Q1756181) (← links)
- Quadratic discriminant analysis by projection (Q2140867) (← links)
- Projecting flood-inducing precipitation with a Bayesian analogue model (Q2209862) (← links)
- Uncertainty quantification of microstructure variability and mechanical behavior of additively manufactured lattice structures (Q2237791) (← links)
- A clipped latent variable model for spatially correlated ordered categorical data (Q2445652) (← links)
- Statistically equivalent surrogate material models: impact of random imperfections on the elasto-plastic response (Q2679290) (← links)
- A Hierarchical Bayesian Model for Spatial Prediction of Multivariate Non-Gaussian Random Fields (Q3008861) (← links)
- Properties of Binary Data Generated from a Truncated Gaussian Random Field (Q4678832) (← links)
- Classification of Gaussian spatio-temporal data with stationary separable covariances (Q4993836) (← links)
- Analysis of clustered spatially correlated binary data using autologistic model and Bayesian method with an application to dental caries of 3–5-year-old children (Q5124959) (← links)
- Estimation in Truncated GLG Model for Ordered Categorical Spatial Data Using the SAEM Algorithm (Q5415867) (← links)
- Bayesian factor models for multivariate categorical data obtained from questionnaires (Q5861160) (← links)
- A Clipped Gaussian Geo-Classification model for poverty mapping (Q5861492) (← links)
- Models for Geostatistical Binary Data: Properties and Connections (Q5869252) (← links)
- Spatial multinomial regression models for nominal categorical data: a study of land cover in Northern Wisconsin, USA (Q6069056) (← links)
- Actual error rates in linear discrimination of spatial Gaussian data in terms of semivariograms (Q6106258) (← links)
- Composite likelihood inference for ordinal periodontal data with replicated spatial patterns (Q6628286) (← links)
- PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models (Q6631059) (← links)
- Factor model for ordinal categorical data with latent factors explained by auxiliary variables applied to the major depression inventory (Q6662602) (← links)
