Haakon Bakka
Haakon Bakka
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Spatial modeling with R‐INLA: A review
H Bakka, H Rue, GA Fuglstad, A Riebler, D Bolin, J Illian, E Krainski, ...
Wiley Interdisciplinary Reviews: Computational Statistics 10 (6), e1443, 2018
Advanced spatial modeling with stochastic partial differential equations using R and INLA
E Krainski, V Gómez-Rubio, H Bakka, A Lenzi, D Castro-Camilo, ...
Chapman and Hall/CRC, 2018
Changes in soil organic carbon under perennial crops
A Ledo, P Smith, A Zerihun, J Whitaker, JL Vicente‐Vicente, Z Qin, ...
Global change biology 26 (7), 4158-4168, 2020
Non-stationary Gaussian models with physical barriers
H Bakka, J Vanhatalo, JB Illian, D Simpson, H Rue
Spatial statistics 29, 268-288, 2019
INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles
T Opitz, R Huser, H Bakka, H Rue
Extremes 21 (3), 441-462, 2018
Geostatistical modeling to capture seismic‐shaking patterns from earthquake‐induced landslides
L Lombardo, H Bakka, H Tanyas, C van Westen, PM Mai, R Huser
Journal of Geophysical Research: Earth Surface 124 (7), 1958-1980, 2019
New frontiers in Bayesian modeling using the INLA package in R
J Van Niekerk, H Bakka, H Rue, O Schenk
arXiv preprint arXiv:1907.10426, 2019
Landslide susceptibility maps of Italy: Lesson learnt from dealing with multiple landslide types and the uneven spatial distribution of the national inventory
M Loche, M Alvioli, I Marchesini, H Bakka, L Lombardo
Earth-Science Reviews 232, 104125, 2022
Approximate Bayesian inference for analysis of spatiotemporal flood frequency data
ÁV Jóhannesson, S Siegert, R Huser, H Bakka, B Hrafnkelsson
The Annals of Applied Statistics 16 (2), 905-935, 2022
Competing risks joint models using R-INLA
J Niekerk, H Bakka, H Rue
Statistical Modelling 21 (1-2), 56-71, 2021
Max-and-smooth: A two-step approach for approximate Bayesian inference in latent Gaussian models
B Hrafnkelsson, S Siegert, R Huser, H Bakka, ÁV Jóhannesson
Bayesian Analysis 16 (2), 611-638, 2021
Inla: Full bayesian analysis of latent gaussian models using integrated nested laplace approximations
H Rue, F Lindgren, D Simpson, S Martino, E Teixeira Krainski, H Bakka, ...
R package version 19 (03), 2019
The diffusion-based extension of the Matérn field to space-time
H Bakka, E Krainski, D Bolin, H Rue, F Lindgren
arXiv, 2020
Revisiting area risk classification of visceral leishmaniasis in Brazil
G Machado, J Alvarez, HC Bakka, A Perez, LE Donato, ...
BMC infectious diseases 19, 1-9, 2019
How to solve the stochastic partial differential equation that gives a Mat\'ern random field using the finite element method
H Bakka
arXiv preprint arXiv:1803.03765, 2018
The emergence and shift in seasonality of Lyme borreliosis in Northern Europe
A Goren, H Viljugrein, IM Rivrud, S Jore, H Bakka, Y Vindenes, ...
Proceedings of the Royal Society B 290 (1993), 20222420, 2023
High-resolution Bayesian mapping of landslide hazard with unobserved trigger event
T Opitz, H Bakka, R Huser, L Lombardo
The Annals of Applied Statistics 16 (3), 1653-1675, 2022
A principled distance-based prior for the shape of the Weibull model
J Van Niekerk, H Bakka, H Rue
Statistics & Probability Letters 174, 109098, 2021
Dealing with physical barriers in bottlenose dolphin (Tursiops truncatus) distribution
J Martínez-Minaya, D Conesa, H Bakka, MG Pennino
Ecological modelling 406, 44-49, 2019
Joint models as latent gaussian models-not reinventing the wheel
J Van Niekerk, H Bakka, H Rue
arXiv preprint arXiv:1901.09365, 2019
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