Searching for correct specification in spatial probit models. Classical approaches versus Gradient Boosting algorithm-Reference-Cited by-同舟云学术

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Searching for correct specification in spatial probit models. Classical approaches versus Gradient Boosting algorithm

Published:2024-06 Issue: Volume:61 Page:100815
ISSN:2211-6753
Container-title:Spatial Statistics
language:en
Short-container-title:Spatial Statistics

Author:

De la Llave Miguel,López Fernando A.^ORCID

Publisher

Elsevier BV

Reference34 articles.

1. Evaluating information criteria for selecting spatial processes;Agiakloglou;Ann. Reg. Sci.,2021

2. Evaluating the performance of AIC and BIC for selecting spatial econometric models;Agiakloglou;J. Spatial Econom.,2023

3. Testing for spatial error dependence in probit models;Amaral;Lett. Spatial Resour. Sci.,2013

4. Probit in a spatial context: a Monte Carlo analysis;Beron,2004

5. Partial ml estimation for spatial autoregressive nonlinear probit models with autoregressive disturbances;Billé;Econometric Rev.,2020

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