Elias Teixeira Krainski
Elias Teixeira Krainski
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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
Applying Bayesian spatiotemporal models to fisheries bycatch in the Canadian Arctic
A Cosandey-Godin, ET Krainski, B Worm, JM Flemming
Canadian Journal of Fisheries and Aquatic Sciences 72 (2), 186-197, 2015
Direct fitting of dynamic models using integrated nested Laplace approximations—INLA
R Ruiz-Cárdenas, ET Krainski, H Rue
Computational Statistics & Data Analysis 56 (6), 1808-1828, 2012
Neighborhood dependence in Bayesian spatial models
R Assunção, E Krainski
Biometrical Journal: Journal of Mathematical Methods in Biosciences 51 (5 …, 2009
Assessing comorbidity and correlates of wasting and stunting among children in Somalia using cross-sectional household surveys: 2007 to 2010
DK Kinyoki, NB Kandala, SO Manda, ET Krainski, GA Fuglstad, ...
Bmj Open 6 (3), e009854, 2016
The R-INLA tutorial on SPDE models
ET Krainski, F Lindgren, D Simpson, H Rue, 2016
Spatial pattern of trees affected by black spot in citrus groves in Brazil
MB Spósito, L Amorim, PJ Ribeiro Jr, RB Bassanezi, ET Krainski
Plant Disease 91 (1), 36-40, 2007
Tuberculosis inequalities and socio-economic deprivation in Portugal
D Apolinário, AI Ribeiro, E Krainski, P Sousa, M Abranches, R Duarte
The International Journal of Tuberculosis and Lung Disease 21 (7), 784-789, 2017
A new avenue for Bayesian inference with INLA
J Van Niekerk, E Krainski, D Rustand, H Rue
Computational Statistics & Data Analysis 181, 107692, 2023
The influence of socioeconomic deprivation, access to healthcare and physical environment on old-age survival in Portugal
AI Ribeiro, ET Krainski, MS Carvalho, MF de Pina
Geospatial Health 12 (2), 2017
Where do people live longer and shorter lives? An ecological study of old-age survival across 4404 small areas from 18 European countries
AI Ribeiro, ET Krainski, MS Carvalho, MF de Pina
J Epidemiol Community Health 70 (6), 561-568, 2016
Determinants of multidrug‐resistant tuberculosis in São Paulo—Brazil: a multilevel Bayesian analysis of factors associated with individual, community and access to health services
LH Arroyo, M Yamamura, ACV Ramos, LT Campoy, JA Crispim, TZ Berra, ...
Tropical Medicine & International Health 25 (7), 839-849, 2020
A joint Bayesian space–time model to integrate spatially misaligned air pollution data in R‐INLA
C Forlani, S Bhatt, M Cameletti, E Krainski, M Blangiardo
Environmetrics 31 (8), e2644, 2020
Spatial patterns of the Citrus leprosis virus and its associated mite vector in systems without intervention
RB Bassanezi, ABC Czermainski, FF Laranjeira, AS Moreira, PJ Ribeiro, ...
Plant pathology 68 (1), 85-93, 2019
Using Bayesian spatial models to map and to identify geographical hotspots of multidrug-resistant tuberculosis in Portugal between 2000 and 2016
O Oliveira, AI Ribeiro, ET Krainski, T Rito, R Duarte, M Correia-Neves
Scientific reports 10 (1), 16646, 2020
The influence of socioeconomic, biogeophysical and built environment on old-age survival in a Southern European city
AI Ribeiro, ET Krainski, R Autran, H Teixeira, MS Carvalho, MF de Pina
Health & Place 41, 100-109, 2016
The diffusion-based extension of the Matérn field to space-time
H Bakka, E Krainski, D Bolin, H Rue, F Lindgren
arXiv, 2020
Can collective memories shape fish distributions? A test, linking space‐time occurrence models and population demographics
JI Macdonald, K Logemann, ET Krainski, Þ Sigurðsson, CM Beale, ...
Ecography 41 (6), 938-957, 2018
Autologistic model with an application to the citrus" sudden death" disease
ET Krainski, PJ Ribeiro Junior, RB Bassanezi, L Franciscon
Scientia Agricola 65, 541-547, 2008
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