Results 101 to 110 of about 7,865 (191)

Aproximações de distribuições marginais a posteriori utilizando o método INLA [PDF]

open access: yes, 2013
O uso da Estatística Bayesiana vem se tornando cada vez mais frequente, isso pois os modelos são mais intuitivos e em alguns casos apenas modelos Bayesianos obtêm sucesso (modelos de Teoria da Resposta ao Item por exemplo). O grande problema surge quando
Azevedo, Douglas Roberto Mesquita
core  

A primer on disease mapping and ecological regression using $${\texttt{INLA}}$$ [PDF]

open access: yes, 2018
Spatial and spatio-temporal disease mapping models are widely used for the analysis of registry data and usually formulated in a hierarchical Bayesian framework. Explanatory variables can be included by a so-called ecological regression.
Held, Leonhard, Schrödle, Birgit
core  

A Bayesian regression framework for circular models with INLA

open access: yes
Regression models for circular variables are less developed, since the concept of building a linear predictor from linear combinations of covariates and various random effects, breaks the circular nature of the variable. In this paper, we introduce a new approach to rectify this issue, leading to well-defined regression models for circular responses ...
Ye, Xiang   +2 more
openaire   +2 more sources

Workshop on Spatial Modelling with INLA [PDF]

open access: yesThe Bulletin of the Ecological Society of America, 2012
openaire   +1 more source

Advancing multilevel Bayesian networks with efficient Bayesian inference. [PDF]

open access: yesStat Methods Med Res
Yirdaw BE   +3 more
europepmc   +1 more source

Clustering and Source Association of Clinical and Nonclinical Listeria monocytogenes Isolates, New York, USA, 2000-2021<sup>1</sup>. [PDF]

open access: yesEmerg Infect Dis
Samut H   +12 more
europepmc   +1 more source

Distributed inference with INLA

open access: yes
Distributed inference is often used to reduce computational costs and memory usage, but it is also essential in cases where processing all the data jointly is not feasible.
Figueira, Mario
core  

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