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CARBayes: An R Package for Bayesian Spatial Modeling with Conditional Autoregressive Priors

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Cited by:

  1. Nikoline N. Knudsen & Jörg Schullehner & Birgitte Hansen & Lisbeth F. Jørgensen & Søren M. Kristiansen & Denitza D. Voutchkova & Thomas A. Gerds & Per K. Andersen & Kristine Bihrmann & Morten Grønbæk , 2017. "Lithium in Drinking Water and Incidence of Suicide: A Nationwide Individual-Level Cohort Study with 22 Years of Follow-Up," IJERPH, MDPI, vol. 14(6), pages 1-13, June.
  2. Demetris Lamnisos & Nicos Middleton & Nikoletta Kyprianou & Michael A. Talias, 2019. "Geodemographic Area Classification and Association with Mortality: An Ecological Study of Small Areas of Cyprus," IJERPH, MDPI, vol. 16(16), pages 1-13, August.
  3. Xiaoqing Zhao & Junwei Pu & Xingyou Wang & Junxu Chen & Liang Emlyn Yang & Zexian Gu, 2018. "Land-Use Spatio-Temporal Change and Its Driving Factors in an Artificial Forest Area in Southwest China," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
  4. Gerber, Florian & Furrer, Reinhard, 2015. "Pitfalls in the Implementation of Bayesian Hierarchical Modeling of Areal Count Data: An Illustration Using BYM and Leroux Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(c01).
  5. Kevin P. Josey & Priyanka deSouza & Xiao Wu & Danielle Braun & Rachel Nethery, 2023. "Estimating a Causal Exposure Response Function with a Continuous Error-Prone Exposure: A Study of Fine Particulate Matter and All-Cause Mortality," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(1), pages 20-41, March.
  6. Earl W Duncan & Kerrie L Mengersen, 2020. "Comparing Bayesian spatial models: Goodness-of-smoothing criteria for assessing under- and over-smoothing," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-28, May.
  7. Mary Kathryn Cowles & Stephen Bonett & Michael Seedorff, 2018. "Independent sampling for Bayesian normal conditional autoregressive models with OpenCL acceleration," Computational Statistics, Springer, vol. 33(1), pages 159-177, March.
  8. Dongkwan Lee & Jean-Michel Guldmann & Choongik Choi, 2019. "Factors Contributing to the Relationship between Driving Mileage and Crash Frequency of Older Drivers," Sustainability, MDPI, vol. 11(23), pages 1-13, November.
  9. Meen Chel Jung & Jaewoo Park & Sunghwan Kim, 2019. "Spatial Relationships between Urban Structures and Air Pollution in Korea," Sustainability, MDPI, vol. 11(2), pages 1-17, January.
  10. Tasuku Okui & Akie Hirata & Naoki Nakashima, 2022. "Association of Esophageal Cancer Mortality with Municipal Socioeconomic Deprivation Level in Japan, 2013–2017: An Ecological Study Using Nationwide Data," IJERPH, MDPI, vol. 19(9), pages 1-9, April.
  11. Savitsky, Terrance D., 2016. "Bayesian Nonparametric Mixture Estimation for Time-Indexed Functional Data in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 72(i02).
  12. Bivand, Roger & Gómez-Rubio, Virgilio & Rue, Håvard, 2015. "Spatial Data Analysis with R-INLA with Some Extensions," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i20).
  13. Sanjeeva Kumar Jha & Ningthoukhongjam Vikimchandra Singh, 2023. "A Skew-Normal Spatial Simultaneous Autoregressive Model and its Implementation," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 306-323, February.
  14. Ferreira, Marco A.R. & Porter, Erica M. & Franck, Christopher T., 2021. "Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects," Computational Statistics & Data Analysis, Elsevier, vol. 162(C).
  15. Walguen Oscar & Jean Vaillant, 2021. "Cox Processes Associated with Spatial Copula Observed through Stratified Sampling," Mathematics, MDPI, vol. 9(5), pages 1-13, March.
  16. KWON, Heeeun & HWANG, Beom Seuk, 2023. "Do Spatial Characteristics Affect Housing Prices in Korea? : Evidence from Bayesian Spatial Models," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 64(2), pages 109-124, December.
  17. Berloco, Claudia & Argiento, Raffaele & Montagna, Silvia, 2023. "Forecasting short-term defaults of firms in a commercial network via Bayesian spatial and spatio-temporal methods," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1065-1077.
  18. Xiao Li & Michele Guindani & Chaan S. Ng & Brian P. Hobbs, 2021. "A Bayesian nonparametric model for textural pattern heterogeneity," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(2), pages 459-480, March.
  19. Armillei, Francesco & Filippucci, Francesco & Fletcher, Thomas, 2021. "Did Covid-19 hit harder in peripheral areas? The case of Italian municipalities," Economics & Human Biology, Elsevier, vol. 42(C).
  20. Anagh Chattopadhyay & Soudeep Deb, 2024. "A spatio-temporal model for binary data and its application in analyzing the direction of COVID-19 spread," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 108(4), pages 823-851, December.
  21. Kabeya Clement Mulamba, 2021. "A Spatial Analysis of Property Crime Rates in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 89(3), pages 329-347, September.
  22. Alexandra M Ouédraogo & Eric J Crighton & Michael Sawada & Teresa To & Kevin Brand & Eric Lavigne, 2018. "Exploration of the spatial patterns and determinants of asthma prevalence and health services use in Ontario using a Bayesian approach," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-16, December.
  23. Konstantinos Giannakou & Demetris Lamnisos, 2022. "Small-Area Geographic and Socioeconomic Inequalities in Colorectal Cancer in Cyprus," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
  24. Demba Fofana & E. O. George & Dale Bowman, 2021. "Combining assumptions and graphical network into gene expression data analysis," Journal of Statistical Distributions and Applications, Springer, vol. 8(1), pages 1-17, December.
  25. Mabel Morales-Otero & Vicente Núñez-Antón, 2021. "Comparing Bayesian Spatial Conditional Overdispersion and the Besag–York–Mollié Models: Application to Infant Mortality Rates," Mathematics, MDPI, vol. 9(3), pages 1-33, January.
  26. Wiki, Jesse & Kingham, Simon & Campbell, Malcolm, 2021. "A geospatial analysis of Type 2 Diabetes Mellitus and the food environment in urban New Zealand," Social Science & Medicine, Elsevier, vol. 288(C).
  27. Pebesma, Edzer & Bivand, Roger & Ribeiro, Paulo Justiniano, 2015. "Software for Spatial Statistics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i01).
  28. Tasuku Okui & Jinsang Park, 2021. "Geographical Differences and Their Associated Factors in Chronic Obstructive Pulmonary Disease Mortality in Japan: An Ecological Study Using Nationwide Data," IJERPH, MDPI, vol. 18(24), pages 1-10, December.
  29. Duncan Lee & Chris Robertson & Colin Ramsay & Kate Pyper, 2020. "Quantifying the impact of the modifiable areal unit problem when estimating the health effects of air pollution," Environmetrics, John Wiley & Sons, Ltd., vol. 31(8), December.
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