Research Interests

My research interests are on Bayesian modelling, spatial statistics and computational statistics. A list of published work can be found in Google Scholar. Links to my ORCID and Research Gate spaces are provided in the links in the footer.

Working Papers

A list of unpusblished and working papers can be found at the arXiv and Researchgate.

Selected publications

  • G. Konstantinoudis, M. Cameletti, V. Gómez-Rubio et al. (2022). Regional excess mortality during the 2020 COVID-19 pandemic in five European countries. Nature Communications 13, 482. https://doi.org/10.1038/s41467-022-28157-3.

  • V. Gómez-Rubio and M. J. Haro Delicado (2021). Modelos matemáticos para el análisis de enfermedades infecciosas. Revista Suma 96, 11-20.

  • V. Gómez-Rubio (2020). Bayesian Inference with INLA. Chapman & Hall/CRC Press, Boca Raton (FL).

  • V. Gómez-Rubio and F. Palmí-Perales (2019). Multivariate posterior inference for spatial models with the integrated nested Laplace approximation. J. R. Stat. Soc. C, 68: 199-215.

  • E. T. Krainski, V. Gómez-Rubio et al. (2018). Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA. Chapman & Hall/CRC Press, Boca Raton (FL).

  • V. Gómez-Rubio and H. Rue (2018). Markov chain Monte Carlo with the integrated nested Laplace approximation. Statistics and Computing 86(1), 1-5.

  • R. G. Mateo et al. (2016). The mossy north: an inverse latitudinal diversity gradient in European bryophytes. Scientific Reports 6, 25546.

  • R. S. Bivand, V. Gómez-Rubio and H. Rue (2015). Approximate Bayesian inference for spatial econometrics models. Spatial Statistics 9, 146-165.

  • R.S. Bivand, E. Pebesma and V. Gómez-Rubio (2013). Applied Spatial Data Analysis with R. Springer, New York.