Spatial Variation and Bayesian Geo-additive Models
Child health and epidemiology with Bayesian geo additive latent variable models
... epidemiology and health, in particular, addressing maternal and child health and a variety of health-related health inequalities both in the developing countries and command economies, using large scale household data. ...
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Evaluation of the Performance of Smoothing Functions in Generalized Additive Models for Spatial Variation in Disease
... Generalized additive models (GAMs) with bivariate smoothing functions have been applied to estimate spatial variation in risk for many types of ...overall spatial variation of ...
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Geo-additive Models in Small Area Estimation of Poverty
... integrating spatial information into the model, known as Spatial ...and spatial SAE model require the fulfilment of covariate linearity assumption as well as the normality of the response ...
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Bayesian nonparametric models of genetic variation
... the spatial con- struction of the coalescent with recombination ( Wiuf and Hein , 1999 ) described earlier in this ...the spatial construction by providing a Markovian version of the transition rules of the ...
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BayesX: Analyzing Bayesian Structural Additive Regression Models
... either additive models, possibly including interaction surfaces, or the possibility to estimate spatial effects, mostly based on geostatistical method- ...of additive and spatial ...
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BayesX: Analysing Bayesian structured additive regression models
... The spatial effect of the district is split up into a spatially correlated effect ’district(spatial,map=m)’ and an uncorrelated effect ’district(random)’, see Fahrmeir and Lang (2001b) for a ...
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Spatial Patterns and Socio-Demographic Determinants of the Decision Maker on Large Household Purchases in Nigeria: A Bayesian Semi-parametric Geo-Additive Model
... regression models are not flexible enough to cope with possibly nonlinear effects of the continuous covariates and cannot flexibly model favourably spatial ...the Bayesian approach was adopted to ...
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Geo additive modelling of malaria in Burundi
... semiparametric models were used to model the effects of both climatic covariates and spatial effects on malaria distribution in ...The spatial analysis was based on a geo-additive model ...
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spatsurv:an R package for Bayesian inference with spatial survival models
... the spatial variation in survival times may be of scientific ...new models for the baseline hazard function and spatial covariance ...deliver Bayesian inference with minimal input from ...
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Social and demographic factors associated with morbidities in young children in Egypt: a Bayesian geo-additive semi-parametric multinomial model
... and south-eastern Egypt have high rates of diseases and are more affected. Therefore, more attention is needed in these areas. Introduction Across the globe, the burden of mortality in children in poor developing ...
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Social and Demographic Factors Associated with Morbidities in Young Children in Egypt: A Bayesian Geo-Additive Semi-Parametric Multinomial Model
... and south-eastern Egypt have high rates of diseases and are more affected. Therefore, more attention is needed in these areas. Introduction Across the globe, the burden of mortality in children in poor developing ...
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Social and demographic factors associated with morbidities in young children in Egypt: A Bayesian geo additive semi parametric multinomial model
... and south-eastern Egypt have high rates of diseases and are more affected. Therefore, more attention is needed in these areas. Introduction Across the globe, the burden of mortality in children in poor developing ...
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High-dimensional Structured Additive Regression Models: Bayesian Regularisation, Smoothing and Predictive Performance
... and spatial effects with high-dimensional covariate ...sparse models. In this paper, we consider a Bayesian unifying perspective, where conditionally Gaussian priors can be assigned to all types of ...
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Mapping malaria risk among children in Côte d’Ivoire using Bayesian geo statistical models
... for spatial targeting of malaria control activities, ...caution, Bayesian geo-statistical risk mapping provides informa- tion on the uncertainty of the model-based malaria risk ...
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Spatial downscaling of soil prediction models based on weighted generalized additive models in smallholder farm settings
... medium spatial resolution (30 m) to very fine spatial resolution ...and Bayesian area-to-point kriging (Truong et ...generalized additive method in this research can utilize the fine ...
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Bayesian Spatial Additive Hazard Model
... various spatial and temporal dependencies among observations, are the frontiers of the new ...a Bayesian method for the analysis of spatially dependent survival ...
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Dynamic prediction in flexible Bayesian additive joint models
... Thus far we have introduced the set up and estimation of joint models. But often the interest behind building a joint model is to provide predictions for an outcome of interest. Especially in personalized ...
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Semantic Similarity Models for Geo spatial Information System
... computational models for estimating semantic similarity between the geo-spatial concepts are ...computational models and depicts how well the hybrid model ...the geo-spatial ...
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Spatial and temporal rainfall approximation using additive models
... Rainfall is a fundamental component of any water resource assessment strat- egy. Many catchment authorities have implemented expensive and elaborate rainfall monitoring networks to capture the spatial and temporal ...
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Projecting UK mortality by using Bayesian generalized additive models
... the Bayesian approach that was developed above, in that the gap between the high and low variants is much narrower than the fan intervals for at least the first decade of the ...
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