An \(O(N)\) parallel method of computing the log-Jacobian of the variable transformation for models with spatial interaction on a lattice
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Publication:961736
DOI10.1016/j.csda.2008.10.010zbMath1453.62201OpenAlexW2055873999MaRDI QIDQ961736
Luc E. Anselin, Oleg A. Smirnov
Publication date: 1 April 2010
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2008.10.010
Computational methods for problems pertaining to statistics (62-08) Inference from spatial processes (62M30) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)
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- GMM and 2SLS estimation of mixed regressive, spatial autoregressive models
- A matrix exponential spatial specification
- Chebyshev approximation of log-determinants of spatial weight matrices
- Parallel exact sampling and evaluation of Gaussian Markov random fields
- A graph approach to generate all possible regression submodels
- Empirical implications of alternative models of firm dynamics
- Eigenfunction properties and approximations of selected incidence matrices employed in spatial analyses
- Bayesian analysis of regression models with spatially correlated errors and missing observations
- Approximations to the determinant term in gaussian maximum likelihood estimation of some spatial models
- Estimation Methods for Models of Spatial Interaction
- Gaussian Markov Random Fields
- Performance contest between MLE and GMM for huge spatial autoregressive models
- Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models
- Fast maximum likelihood estimation of very large spatial autoregressive models: a characteristic polynomial approach.
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