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Bayesian Hierarchical Models

Bayesian Hierarchical Models for Remote Assessment of Atmospheric Dust

Bayesian Hierarchical Models for Remote Assessment of Atmospheric Dust

... estimation models, are structured as Bayesian hierarchical models with generalized linear models as top stages and Gaussian Markov random fields representing the latent ...graphical ...

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Bayesian hierarchical models for predicting individual performance in soccer

Bayesian hierarchical models for predicting individual performance in soccer

... That is, a prediction task for individual fantasy ratings could be well posed and also serve as an example of a pos- sible approach to use in the future when better measures of individual performance in soccer matches ...

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Geometric Inference in Bayesian Hierarchical Models with Applications to Topic Modeling

Geometric Inference in Bayesian Hierarchical Models with Applications to Topic Modeling

... Introduction Bayesian hierarchical models are prominent tools for unsupervised learning of patterns in ...unsupervised models such as Factor Analysis (Roweis & Ghahramani, 1999), probabilistic ...

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Applications of Bayesian hierarchical models in gene expression and product reliability

Applications of Bayesian hierarchical models in gene expression and product reliability

... of Bayesian hierarchical models and our imple- mentations of them, demonstrating both their advantages and their ...nonparametric Bayesian model for gene expression was in response to the ...

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Bayesian Hierarchical Models: Practical Exercises

Bayesian Hierarchical Models: Practical Exercises

... the models as an alterna- tive to using the menu click-and-point ...run models for the other practicals (or write your own scripts to do this) if you ...

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Bayesian Hierarchical Models for Model Choice

Bayesian Hierarchical Models for Model Choice

... We first show the bivariate contour plots of the negative logarithm of prior den- sities of independent double exponentials and independent normals in the two upper panels of Figure 3.1. Between ridge regression and the ...

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Bayesian Hierarchical Models for the Prediction of Volleyball Results

Bayesian Hierarchical Models for the Prediction of Volleyball Results

... novel Bayesian hierarchical modelling framework for the analysis of volleyball data which allows to jointly predict match results and team rankings in national ...

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Bayesian hierarchical models for misaligned data: a simulation study

Bayesian hierarchical models for misaligned data: a simulation study

... In this paper, the problem of combining information from different data sources is consid- ered. We focus our attention on spatially misaligned data, where available information (typically counts or rates from ...

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Application of Bayesian Hierarchical Models in Genetic Data Analysis

Application of Bayesian Hierarchical Models in Genetic Data Analysis

... statistical models such as factor analytical model, random effects model, and conditional covariance ...novel Bayesian method of estimating the covariance matrices with such decomposition structure by ...

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Cross-validation to select Bayesian hierarchical models in phylogenetics.

Cross-validation to select Bayesian hierarchical models in phylogenetics.

... substitution models and to test for the strict mo- lecular clock ...competing models multiplied by 2 as a test ...two models. A limitation of this approach is that only nested models can be ...

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The application of Bayesian hierarchical models to heterogeneous DNA profiling data

The application of Bayesian hierarchical models to heterogeneous DNA profiling data

... The hierarchical model used in this thesis is a clear simplification of the true situation, involving as it does discrete subpopulations between which individuals cannot mate, and within which mating is ...

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Flexible Bayesian Hierarchical Models for Discrete-Valued Spatio-Temporal Data

Flexible Bayesian Hierarchical Models for Discrete-Valued Spatio-Temporal Data

... general models that can be ...cal Bayesian spatio-temporal Conway-Maxwell Poisson (CMP) models with dynamic dispersion that take advantage of nonlinear dimension ...Binomial-CMP models. The ...

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Applying Bayesian hierarchical models to examine motorcycle crashes at signalized intersections

Applying Bayesian hierarchical models to examine motorcycle crashes at signalized intersections

... all models are presented in Table 2. In all cases, the hierarchical models are found to be better than the standard Poisson Gamma ...as hierarchical structures exist extensively in the traffic ...

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Bayesian Hierarchical Gaussian Process Models For Functional Data Analysis

Bayesian Hierarchical Gaussian Process Models For Functional Data Analysis

... effect models for functional data analysis. These random effect models are unique in the ease in which they are adapted to a multitude of inferential ...a Bayesian environment where inferential ...

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Bayesian designs for hierarchical linear models

Bayesian designs for hierarchical linear models

... The paper is organized as follows. In Section 2, we describe the hierarchical linear model, and in Section 3 we specify the two Bayesian design criteria investigated. We dis- cuss the issue of ...

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Bayesian methods for hierarchical distance sampling models

Bayesian methods for hierarchical distance sampling models

... 4) which cannot be due to prior sensitivity as we used uniform priors on all parameters for the Bayesian approach. We assume these differences may have been due to the fact that – as opposed to the two-stage ...

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Optimizing Prediction with Hierarchical Models: Bayesian Clustering

Optimizing Prediction with Hierarchical Models: Bayesian Clustering

... Hierarchical models are typically based on a ‘natural’ definition of the clustering which defines the hierarchy, which is context dependent. However, there is no assurance that this ‘natural’ clustering is ...

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A hierarchical Bayesian approach for parameter estimation in HIV models

A hierarchical Bayesian approach for parameter estimation in HIV models

... 4 Simulation Studies II: Subjects Undergoing Therapy In this section, we apply the proposed Bayesian approach to estimate the parameters of interest in the case that an STI strategy is adopted for the patient ...

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Bayesian Hierarchical Spatial-Temporal Models for Wind Prediction

Bayesian Hierarchical Spatial-Temporal Models for Wind Prediction

... The hierarchical Bayesian approach is ideal for this application because it provides a mechanism for combining data from different resources with different spatial/temporal resolution, and it also provides ...

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Bayesian Hierarchical Modeling with 3PNO Item Response Models

Bayesian Hierarchical Modeling with 3PNO Item Response Models

... This hierarchical modeling approach allows for a more objective approach to inference by estimating the parameters of prior distributions from data rather than specifying them based on subjective ...

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