Results 81 to 90 of about 14,071 (177)

Exploring the usefulness of the INLA model in predicting levels of crime in the City of Johannesburg, South Africa

open access: yesCrime Science
Crime prediction serves as a valuable tool for deriving insightful information that can inform policy decisions at both operational and strategic tiers.
Toshka Coleman   +6 more
doaj   +1 more source

Two-level resolution of relative risk of dengue disease in a hyperendemic city of Colombia. [PDF]

open access: yesPLoS ONE, 2018
Risk maps of dengue disease offer to the public health officers a tool to model disease risk in space and time. We analyzed the geographical distribution of relative incidence risk of dengue disease in a high incidence city from Colombia, and its ...
Aritz Adin   +3 more
doaj   +1 more source

Mixtures of g-priors in Generalized Linear Models

open access: yes, 2018
Mixtures of Zellner's g-priors have been studied extensively in linear models and have been shown to have numerous desirable properties for Bayesian variable selection and model averaging. Several extensions of g-priors to Generalized Linear Models (GLMs)
Clyde, Merlise A., Li, Yingbo
core   +2 more sources

Trend of malaria parasites infection in Ethiopia along an international border: a Bayesian spatio-temporal study

open access: yesInfectious Diseases of Poverty
Background Malaria is a major worldwide health concern that impacts many individuals worldwide. P. falciparum is Africa’s main malaria cause. However, P.
Changkuoth Jock Chol   +3 more
doaj   +1 more source

PointedSDMs: An R package to help facilitate the construction of integrated species distribution models

open access: yesMethods in Ecology and Evolution, 2023
Ecological data are being collected at a large scale from a multitude of different sources, each with their own sampling protocols and assumptions. As a result, the integration of disparate datasets is a rapidly growing area in quantitative ecology, and ...
Philip S. Mostert, Robert B. O'Hara
doaj   +1 more source

Approximate Bayesian inference based on INLA algorithm

open access: yesStatistical Theory and Related Fields
The integrated nested Laplace approximation (INLA) algorithm provides a computationally efficient approach for approximate Bayesian inference, overcoming the limitations of traditional Markov chain Monte Carlo (MCMC) methods.
Pingping Wang, Wei Zhao, Yincai Tang
doaj   +1 more source

Bayesian Mortality Modeling with Linearized Integrated Nested Laplace Approximations

open access: yes, 2022
Prediksjon av dødelighet er et viktig verktøy innen for eksempel aktuarviten- skap og demografi. Mange populære dødelighetsmodeller inneholder multiplikative ledd som gjør at de ikke inkluderes i gruppen av modeller der man kan bruke den populære metoden INLA (Rue et al. 2009) for å gjøre bayesiansk inferens.
openaire   +2 more sources

The impact of rapid urbanization on water resources based on INLA

open access: yesFrontiers in Environmental Science
Rapid urbanization reshapes regional water resources by reconfiguring land systems and altering the balance between runoff and infiltration. Empirical evidence that jointly accounts for human and natural drivers while addressing spatial dependence ...
Yongjun Song   +9 more
doaj   +1 more source

Faster Detection of Poliomyelitis Outbreaks to Support Polio Eradication

open access: yesEmerging Infectious Diseases, 2016
As the global eradication of poliomyelitis approaches the final stages, prompt detection of new outbreaks is critical to enable a fast and effective outbreak response. Surveillance relies on reporting of acute flaccid paralysis (AFP) cases and laboratory
Isobel M. Blake   +5 more
doaj   +1 more source

Bayes Model Selection with Path Sampling: Factor Models and Other Examples

open access: yes, 2013
We prove a theorem justifying the regularity conditions which are needed for Path Sampling in Factor Models. We then show that the remaining ingredient, namely, MCMC for calculating the integrand at each point in the path, may be seriously flawed ...
Dutta, Ritabrata, Ghosh, Jayanta K.
core   +1 more source

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