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Bayesian statistics from methods to models and applications : research from baysm 2014 / edited by Sylvia Frühwirth-Schnatter, Angela Bitto, Gregor Kastner, Alexandra Posekany.

Colaborador(es): Tipo de material: TextoTextoSeries Springer Proceedings in Mathematics & Statistics ; 126Editor: Cham : Springer International Publishing : Springer, 2015Descripción: xiii, 167 páginas : 40 ilustraciones, 25 ilustraciones en colorTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9783319162386
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • QA276-280
Recursos en línea:
Contenidos:
On Bayesian based adaptive confidence sets for linear functionals -- A new finite approximation for the NGG mixture model: an application to density estimation -- Distributed Estimation of Mixture Models -- Bayesian Survival Model based on Moment Characterization -- Identifying the Infectious Period Distribution for Stochastic Epidemic Models Using the Posterior Predictive Check -- A subordinated stochastic process model -- Jeffreys priors for mixture estimation -- Bayesian Variable Selection for Generalized Linear Models Using the Power-Conditional-Expected-Posterior Prior -- A new strategy for testing cosmology with simulations -- Mixture Model for Filtering Firms' Profit Rates -- Bayesian Estimation of the Aortic Stiffness based on Non-Invasive Computed Tomography Images -- Formal and Heuristic Model Averaging Methods for Predicting the US Unemployment Rate -- Bayesian Filtering for Thermal Conductivity Estimation given Temperature Observations -- Application of Interweaving in DLMs to an Exchange and Specialization Experiment.
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Springer eBooks

On Bayesian based adaptive confidence sets for linear functionals -- A new finite approximation for the NGG mixture model: an application to density estimation -- Distributed Estimation of Mixture Models -- Bayesian Survival Model based on Moment Characterization -- Identifying the Infectious Period Distribution for Stochastic Epidemic Models Using the Posterior Predictive Check -- A subordinated stochastic process model -- Jeffreys priors for mixture estimation -- Bayesian Variable Selection for Generalized Linear Models Using the Power-Conditional-Expected-Posterior Prior -- A new strategy for testing cosmology with simulations -- Mixture Model for Filtering Firms' Profit Rates -- Bayesian Estimation of the Aortic Stiffness based on Non-Invasive Computed Tomography Images -- Formal and Heuristic Model Averaging Methods for Predicting the US Unemployment Rate -- Bayesian Filtering for Thermal Conductivity Estimation given Temperature Observations -- Application of Interweaving in DLMs to an Exchange and Specialization Experiment.

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