Bayesian regression modeling with INLA. Wang, Xiaofeng, Yue, Yu R. and Faraway, Julian J.. Boca Raton: CRC Press.doi:10.1111/biom.13128Loni P. Tabb
& Rue, H. Bayesian spatial modelling with R-INLA. J. Stat. Soft. 63, 1–25 (2015). Google Scholar Vanhatalo, J. et al. GPstuff: Bayesian modeling with Gaussian processes. J. Mach. Learn. Res. 14, 1175–1179 (2013). MathSciNet MATH Google Scholar Blaxter, L. How to Research...
In any case, the type of modeling framework proposed could be adapted to other types of partitions, regular or irregular, more or less fine, of the study area under consideration. Dealing with the Temporal Uncertainty The logistic regression model represented by (1) implicitly assumes that the ...
single estimate for the regression coefficients in the model, Bayesian regression provides a posterior distribution of the parameters, which allows for evaluation of its uncertainty and significance, as well as a more robust assessment of the uncertainties in risk estimates. Thirdly, the model accounts...
bayesian spatial modelling with r-inla . j stat softw 63(19):1–25. https://doi.org/10.18637/jss.v063.i19 . https://www.jstatsoft.org/v063/i19 morris m, wheeler-martin k, simpson d, mooney sj, gelman a, dimaggio c (2019) bayesian hierarchical spatial models: implementing the be...
Spatial and spatio-temporal Bayesian models with R-INLA. Hoboken: John Wiley & Sons; 2015. Book Google Scholar West BT, Welch KB, Galecki AT. Linear mixed models: a practical guide using statistical software. Boca Raton: Chapman and Hall/CRC; 2006. Book Google Scholar Wangdi K, Canav...
We calculated the absolute numbers of new cases and deaths based on the changes in mortality rates. The BAPC model was implemented using the BAPC package in R and nested Laplace approximation based on INLA in R (version 4.4.1). Results Gender and age Gender In 2019, the estimated number ...
structure and temporal correlation simultaneously. In both the generalized estimation equation and the hierarchical Poisson regression modeling frameworks, the autoregressive terms have been found to significantly outperform unstructured terms in model fit [7,15]....
The works10,11 proposed a continuous inhomogeneous DBN, which assumes a fixed network structure and only allows the parameters to vary with time. The works12,13 proposed an alterna- tive continuous regression-based time-varying DBN with node-specific change points, that is, network structures ...
Bayesian regression modeling with INLA. XiaofengWang, Yu R.Yue and Julian J.Faraway. Boca Raton: CRC Press.doi:info:doi/10.1111/biom.13128Tabb, Loni P.Biometrics