Results 71 to 80 of about 14,071 (177)

Bayesian Analysis of Measurement Error Models Using Integrated Nested Laplace Approximations

Journal of the Royal Statistical Society Series C: Applied Statistics, 2014
SummaryTo account for measurement error (ME) in explanatory variables, Bayesian approaches provide a flexible framework, as expert knowledge can be incorporated in the prior distributions. Recently, integrated nested Laplace approximations have been proven to be a computationally convenient alternative to sampling approaches for Bayesian inference in ...
Muff, Stefanie, Riebler, Andrea, Held, Leonhard, Rue, Havard, Saner, Philippe   +4 more
openaire   +1 more source

Spatiotemporal mapping and detection of mortality cluster due to cardiovascular disease with Bayesian hierarchical framework using integrated nested Laplace approximation: A discussion of suitable statistic applications in Kersa, Oromia, Ethiopia.

Geospatial Health, 2018
Cardiovascular diseases (CVDs) are the leading cause of death globally and the number one cause of death globally. Over 75% of CVD deaths take place in low- and middle-income countries.
Melkamu Dedefo, H. Mwambi, Sileshi Fanta, N. Assefa   +3 more
semanticscholar   +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

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

survHE: Survival Analysis for Health Economic Evaluation and Cost-Effectiveness Modeling

Journal of Statistical Software, 2020
Survival analysis features heavily as an important part of health economic evaluation, an increasingly important component of medical research. In this setting, it is important to estimate the mean time to the survival endpoint using limited information (
Gianluca Baio
doaj   +1 more source

An Extended Laplace Approximation Method for Bayesian Inference of Self-Exciting Spatial-Temporal Models of Count Data [PDF]

, 2017
Self-Exciting models are statistical models of count data where the probability of an event occurring is influenced by the history of the process. In particular, self-exciting spatio-temporal models allow for spatial dependence as well as temporal self ...
Clark, Nicholas, Dixon, Philip, Dixon, Philip   +2 more
core   +2 more sources

On asymptotic validity of naive inference with an approximate likelihood

, 2016
Many statistical models have likelihoods which are intractable: it is impossible or too expensive to compute the likelihood exactly. In such settings, a common approach is to replace the likelihood with an approximation, and proceed with inference as if ...
Ogden, Helen
core   +1 more source

Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling

, 2023
Bayesian inference tasks continue to pose a computational challenge. This especially holds for spatial-temporal modeling where high-dimensional latent parameter spaces are ubiquitous. The methodology of integrated nested Laplace approximations (INLA) provides a framework for performing Bayesian inference applicable to a large subclass of additive ...
Gaedke-Merzhäuser, Lisa, Krainski, Elias Teixeira, Janalik, Radim, Rue, Haavard, Schenk, Olaf   +4 more
openaire   +2 more sources

Estimating and predicting snakebite risk in the Terai region of Nepal through a high-resolution geospatial and One Health approach

Scientific Reports, 2021
Most efforts to understand snakebite burden in Nepal have been localized to relatively small areas and focused on humans through epidemiological studies. We present the outcomes of a geospatial analysis of the factors influencing snakebite risk in humans
Carlos Ochoa, Marta Pittavino, Sara Babo Martins, Gabriel Alcoba, Isabelle Bolon, Rafael Ruiz de Castañeda, Stéphane Joost, Sanjib Kumar Sharma, François Chappuis, Nicolas Ray   +9 more
doaj   +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