From f498b5152dc301a4cba842699cb2f3a0e036371f Mon Sep 17 00:00:00 2001 From: Pedro Amaral Date: Tue, 24 Sep 2024 10:43:37 -0300 Subject: [PATCH] Updating references --- docs/_static/references.bib | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/_static/references.bib b/docs/_static/references.bib index c591767f..b4f57970 100644 --- a/docs/_static/references.bib +++ b/docs/_static/references.bib @@ -8,13 +8,13 @@ @article{Anselin2021, Author = {Anselin, Luc and Amaral, Pedro}, - Journal = {}, - Number = {}, - Pages = {}, + Journal = {Journal of Geographical Systems}, + Number = {26}, + Pages = {209–234}, Title = {Endogenous Spatial Regimes}, - Url = {https://www.researchgate.net/publication/353411566_Endogenous_Spatial_Regimes}, + Url = {https://doi.org/10.1007/s10109-023-00411-2}, Volume = {}, - Year = {2021}} + Year = {2024}} @article{McMillen1992, Abstract = {ABSTRACT. Commonly-employed spatial autocorrelation models imply heteroskedastic errors, but heteroskedasticity causes probit to be inconsistent. This paper proposes and illustrates the use of two categories of estimators for probit models with spatial autocorrelation. One category is based on the EM algorithm, and requires repeated application of a maximum-likelihood estimator. The other category, which can be applied to models derived using the spatial expansion method, only requires weighted least squares.},