Evaluation of Bayesian Hierarchical Spatiotemporal model without covariates (model 1) and Bayesian Hierarchical Spatiotemporal model with covariates (model 2).</p
Introduction: The need for hierarchical models Those of us who study human cognition have no easy ta...
Bayesian data analysis involves describing data by meaningful mathematical models, and allocating cr...
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appe...
Comparison between the Bayesian hierarchical log5 models and the generalized log5 models.</p
Details of the data analyzed using our proposed Bayesian hierarchical model for combining sources at...
Comparison of the Bayesian hierarchical log5, generalized log5, and log5 models in terms of MSE and ...
Hierarchical spatio-temporal models allow for the consideration and estimation of many sources of va...
<p>Graphical model [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0188246#po...
This dissertation attempts to gather the main research topics I engaged during the past four years, ...
Modelli Bayesiani gerarchici per l’analisi multivariata della distribuzione geografica del rischio d...
Spatio-temporal processes are ubiquitous in the environmental and physical sciences. This is certain...
Results of the hierarchical Bayesian analysis for Model 3 which includes first-order-interactions.</...
Hierarchical models are suitable and very natural to model many real life phenomena, where data aris...
In this paper, the problem of combining information from different data sources is considered. We f...
This study compares state space models (estimated with the Kalman filter with a frequentist approach...
Introduction: The need for hierarchical models Those of us who study human cognition have no easy ta...
Bayesian data analysis involves describing data by meaningful mathematical models, and allocating cr...
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appe...
Comparison between the Bayesian hierarchical log5 models and the generalized log5 models.</p
Details of the data analyzed using our proposed Bayesian hierarchical model for combining sources at...
Comparison of the Bayesian hierarchical log5, generalized log5, and log5 models in terms of MSE and ...
Hierarchical spatio-temporal models allow for the consideration and estimation of many sources of va...
<p>Graphical model [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0188246#po...
This dissertation attempts to gather the main research topics I engaged during the past four years, ...
Modelli Bayesiani gerarchici per l’analisi multivariata della distribuzione geografica del rischio d...
Spatio-temporal processes are ubiquitous in the environmental and physical sciences. This is certain...
Results of the hierarchical Bayesian analysis for Model 3 which includes first-order-interactions.</...
Hierarchical models are suitable and very natural to model many real life phenomena, where data aris...
In this paper, the problem of combining information from different data sources is considered. We f...
This study compares state space models (estimated with the Kalman filter with a frequentist approach...
Introduction: The need for hierarchical models Those of us who study human cognition have no easy ta...
Bayesian data analysis involves describing data by meaningful mathematical models, and allocating cr...
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appe...
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