Spatial models and model selection
Reparametrized Dynamic Space-Time Models and Spatial Model Selection
... Space-Time Models and Spatial Model ...space-time model- ing is a challenging task and in particular parameter estimation can be problematic due to the high ...space-time models with an ...
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Bayesian Inference in Spatial Sample Selection Models
... sample selection rate of ...valid model of fishing productions must account for the selection problem and the spatially correlated disturbances ...
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Bayesian Variable Selection in Spatial Autoregressive Models
... Bayesian model averaging and variable selection methods are potentially useful instru- ments to deal with specification uncertainty in the presence of spatially autocorrelated ...Bayesian model ...
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Bayesian Inference in Spatial Sample Selection Models
... Selection models, or more generally Type-I or Type-II type Tobit models, may arise frequently in urban economics, regional science, labor economics, agricultural economics, and social interaction ...
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Spatial Weighting Matrix Selection in Spatial Lag Econometric Model
... estimated models, something that may prompt search of more robust alternatives of the proposed ...(ignored) spatial dependence, the proposed methods could still be applied to non-parametrically filtered ...
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Estimation and selection of spatial weight matrix in a spatial lag model
... Abstract Spatial econometric models allow for interactions among variables through the specification of a spatial weight ...variable selection through the adaptive Least Absolute Shrinkage and ...
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Bridge Models and Variable Selection Methods for Spatial Data.
... Louis model to study marginal/population-level covariate effects for spatially distributed binary ...hierarchical models, such as the nested subject- and site-specific REs we use for the periodontal data, ...
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Spatial model selection and spatial knowledge spillovers: a regional view of Germany
... of spatial homogeneity is appropriate, all elements of Ω should be equally weighted with value ...Bayesian models, as we can see from figure ...that spatial heterogeneity matters, and thus, a ...
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Order Selection of Spatial and Temporal Autoregressive Models with Errors in Variables
... in model order selection for processes observed with additive Gaussian ...autoregressive models and provide an estimator that takes care of the observational ...automatic model identification ...
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Hydrogeological model selection among complex spatial priors
... conceptual model on predictions might be significantly larger than the one caused by parameter ...conceptual models often need to incorporate geological concepts and patterns in order to provide meaningful ...
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Integrating resource selection into spatial capture-recapture models for large carnivores
... hierarchical model formula- tion described by Royle et ...a spatial point process that describes the distribution of animals in space and an encounter process that describes the capture of individuals in ...
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Selection in spatial stochastic models of cancer: Migration as a key modulator of fitness
... interesting spatial extensions of the Moran model with resulting con- clusions concerning invasion by a mutant depending on cell motility and division ...the spatial patterns ...of spatial ...
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Estimation of Spatial Sample Selection Models: A Partial Maximum Likelihood Approach
... certain spatial or economic ordering in many economic applications, spatial models have become an extensively used tool in applied ...propose spatial extensions of sample selection ...
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Variable Selection and Model Choice in Geoadditive Regression Models
... a model with a bivariate surface of the coordinates as effect ...all spatial base-learners, first order differences and 12 inner knots where ap- plied and a purely spatial effect without interaction ...
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Selection of multi model ensemble of general circulation models for the simulation of precipitation and maximum and minimum temperature based on spatial assessment metrics
... GCM selection approach and temporal scale at which the performance assessment is ...interest. Selection of GCMs based on their performance at individual grid points over a region does not guarantee their ...
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Model uncertainty in matrix exponential spatial growth regression models
... of model specification that arise in applied practice. The problem of model uncertainty can arise from several ...the selection of appropriate variables is a difficult issue in growth empirics and ...
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Model uncertainty in matrix exponential spatial growth regression models
... of model specification that arise in applied practice. The problem of model uncertainty can arise from several ...the selection of appropriate variables is a difficult issue in growth empirics and ...
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A Bayesian Approach to Sparse Model Selection in Statistical Shape Models
... Here, we take a different approach and include additional distance features on a surface’s narrow band for unambiguous surface reconstruction. As shown in Figure 1, given a binary mask we first construct an SDF, whose zero ...
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Application of Predictive Model Selection to Coupled Models
... Terms—Predictive Model Selection, Quantity of Inter- est, Model Validation, Decision Making, Bayesian Analysis ...computer models are used to simulate increasingly complex ...mathematical ...
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Model Selection and Estimation in Additive Regression Models
... two-stage selection with score test screening to the additive mixed models (AMMs), by introduc- ing subject-specific random effects to the additive models to accommodate the correlation among ...
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