Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 8 of 8 for “"Spatial Random Effects"”.
-
Applying an Intrinsic Conditional Autoregressive Reference Prior for Areal Data
… hierarchical models are useful for modeling spatial data because they have flexibility to accommodate complicated dependencies that are common to spatial data. In particular, intrinsic conditional autoregressive (ICAR) models are commonly assigned as priors for spatial random effects in …
-
Efficient Bayesian analysis of spatial occupancy models
… model posterior parameters of the single-season spatial occupancy model. We incorporate the widely used Intrinsic Conditional Autoregressive (ICAR) prior model to specify the spatial random effect in our sampler. We also develop OccuSpytial, a statistical package implementing our Gibbs sampler in …
-
Bayesian approach for modeling zero-inflated plant percent covers using spatial left-censored beta regression
… to arise from ecological reasons or due to randomness. This problem of zero inflation is well studied for discrete positive data, such as counts and occurrences. When sampling plant species, it is logical to record their percent cover, leading to observations between zero and one. With …
-
An International Spatial Analysis of the Welfare Spending’s Influence on Measles Immunization
… policy or published in nursing journals has used spatial analysis. Purpose: The objective of this study is to develop an analytical approach to maximise exploration of welfare spending’s influence on the relationship between measles vaccination rates and measles infection rates over time and …
-
Measurement Error Adjustment in the Offset Variable of a Poisson Model
… 1997 took effect. We use Poisson regression with spatially dependent random effects to model the county-level teenage car crash counts and consider a measurement error model for the offset as the offset variable is mismeasured. The total teenage population in the county-level is widely used to be …
-
A spatial analysis of Illinois agricultural cash rents
… to the market price are derived. A novel spatial econometric panel estimation method is employed to model the spatial error structure and ensure consistent estimators of the model parameters. Lastly, the marginal benefits appropriated by each commodity production participant are estimated …
-
Modeling Point Patterns, Measurement Error and Abundance for Exploring Species Distributions
… In the core of the statistical methodology, lies spatial modeling that provides greater flexibility and improved predictive performance over existing algorithms. The applications involve prevalence datasets for hundreds of plants over a large area in the Cape Floristic Region (CFR) of South …
-
Time-to-Event Prediction Using Deep Learning Models: Application to GPU Failure Data
… which will be utilized in Chapter~ref{cha:NNspatialRE}. Chapter~ref{cha:DL} introduces a deep learning approach for predicting GPU failure time and status. We propose two distinct neural network architectures to address these prediction tasks: TypeEmbedNet for failure type prediction and …