Results 71 to 80 of about 3,561,036 (197)

Bayesian Mortality Modeling with Linearized Integrated Nested Laplace Approximations

, 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

Genetic susceptibility, colony size, and water temperature drive white-pox disease on the coral Acropora palmata. [PDF]

PLoS ONE, 2014
Outbreaks of coral diseases are one of the greatest threats to reef corals in the Caribbean, yet the mechanisms that lead to coral diseases are still largely unknown. Here we examined the spatial-temporal dynamics of white-pox disease on Acropora palmata
Erinn M Muller, Robert van Woesik
doaj   +1 more source

Bias Adjustment for Mean Squared Error Estimation in M‐Quantile Models for Small Area Estimation

International Statistical Review, EarlyView.
Summary M‐quantile (MQ) regression provides a robust and flexible alternative to mixed models for small area estimation. However, several theoretical aspects remain underexplored. In this paper, a parametric bootstrap method is proposed to approximate the distributions of area‐specific MQ coefficients and applied to adjust the bias in the mean squared ...
María Bugallo, Domingo Morales, Nicola Salvati, Francesco Schirripa Spagnolo   +3 more
wiley   +1 more source

Joint quantile disease mapping with application to malaria and G6PD deficiency

Royal Society Open Science
Statistical analysis based on quantile methods is more comprehensive, flexible and less sensitive to outliers when compared to mean methods. Joint disease mapping is useful for inferring correlation between different diseases.
Hanan Alahmadi, Janet van Niekerk, Tullia Padellini, Håvard Rue   +3 more
doaj   +1 more source

Bayesian Spatial Modelling with R-INLA

Journal of Statistical Software, 2015
The principles behind the interface to continuous domain spatial models in the R- INLA software package for R are described. The integrated nested Laplace approximation (INLA) approach proposed by Rue, Martino, and Chopin (2009) is a computationally ...
Finn Lindgren, Håvard Rue
doaj   +1 more source

Adaptation to extreme environments: A review of Antarctic fish physiology

Journal of Fish Biology, EarlyView.
Abstract Having evolved in the chronically cold and thermally stable waters of the Southern Ocean (SO) for millions of years, Antarctic fish possess a suite of physiological specializations that enable them to survive at temperatures near the freezing point of seawater. Adaptations include the evolution of antifreeze proteins, modifications of membrane
Seungyeon Lee, Sachithra Amarin Hettiarachchi, Il‐Chan Kim, Jae‐Seong Lee, Thomas Desvignes, Julia M. York, Laura Ghigliotti, Jilda Alicia Caccavo, Jin‐Hyoung Kim   +8 more
wiley   +1 more source

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

Crime 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, Paul Mokilane, Mapitsi Rangata, Jenny Holloway, Nicolene Botha, Renee Koen, Nontembeko Dudeni-Tlhone   +6 more
doaj   +1 more source

Bayesian Nonparametric Regression and Density Estimation Using Integrated Nested Laplace Approximations [PDF]

Journal of Biometrics & Biostatistics, 2013
Integrated nested Laplace approximations (INLA) are a recently proposed approximate Bayesian approach to fit structured additive regression models with latent Gaussian field. INLA method, as an alternative to Markov chain Monte Carlo techniques, provides accurate approximations to estimate posterior marginals and avoid time-consuming sampling.
openaire   +2 more sources

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

Infectious 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, Denekew Bitew Belay, Haile Mekonnen Fenta, Ding-Geng Chen   +3 more
doaj   +1 more source

Approximate Bayesian inference based on INLA algorithm

Statistical 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