Ferreira, Marco A.R., Porter, Erica M., and Franck, Christopher T. Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects. Retrieved from https://par.nsf.gov/biblio/10374336. Computational Statistics & Data Analysis 162.C Web. doi:10.1016/j.csda.2021.107264.

Ferreira, Marco A.R., Porter, Erica M., & Franck, Christopher T. Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects. Computational Statistics & Data Analysis, 162 (C). Retrieved from https://par.nsf.gov/biblio/10374336. https://doi.org/10.1016/j.csda.2021.107264

Ferreira, Marco A.R., Porter, Erica M., and Franck, Christopher T. "Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects". Computational Statistics & Data Analysis 162 (C). Country unknown/Code not available. https://doi.org/10.1016/j.csda.2021.107264. https://par.nsf.gov/biblio/10374336.

@article{osti_10374336,
place = {Country unknown/Code not available}, title = {Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects}, url = {https://par.nsf.gov/biblio/10374336}, DOI = {10.1016/j.csda.2021.107264}, abstractNote = {}, journal = {Computational Statistics & Data Analysis}, volume = {162}, number = {C}, author = {Ferreira, Marco A.R. and Porter, Erica M. and Franck, Christopher T.}, }