Blar i Articles (SAM) på forfatter "Bivand, Roger"
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A New Latent Class to Fit Spatial Econometrics Models with Integrated Nested Laplace Approximations
Gómez-Rubio, Virgilio; Bivand, Roger; Rue, Håvard (Journal article; Peer reviewed, 2015)The new slm latent model for estimating spatial econometrics models using INLA has recently been introduced. It will be described briefly and its use will be demonstrated in the accompanying poster. -
Approximate Bayesian inference for spatial econometrics models
Bivand, Roger; Gómez-Rubio, Virgilio; Rue, Håvard (Journal article; Peer reviewed, 2014)In this paper we explore the use of the Integrated Laplace Approximation (INLA) for Bayesian inference in some widely used models in Spatial Econometrics. Bayesian inference often relies on computationally intensive ... -
Comparing Implementations of Estimation Methods for Spatial Econometrics
Bivand, Roger; Piras, Gianfranco (Journal article; Peer reviewed, 2015-01)Recent advances in the implementation of spatial econometrics model estimation tech- niques have made it desirable to compare results, which should correspond between im- plementations across software applications for ... -
Comparing implementations of global and local indicators of spatial association.
Bivand, Roger; Wong, David W.S. (Peer reviewed; Journal article, 2018)Functions to calculate measures of spatial association, especially measures of spatial autocorrelation, have been made available in many software applications. Measures may be global, applying to the whole data set under ... -
Computing the Jacobian in Gaussian Spatial Autoregressive Models: An Illustrated Comparison of Available Methods
Bivand, Roger; Hauke, Jan; Kossowski, Tomasz (Journal article; Peer reviewed, 2013)When estimating spatial regression models by maximum likelihood using spatial weights matrices to represent spatial processes, computing the Jacobian, ln(|I - lW|), remains a central problem. In principle, and for smaller ... -
Implementing Approximations to Extreme Eigenvalues and Eigenvalues of Irregular Surface Partitionings for use in SAR and CAR Models
Griffith, Daniel; Bivand, Roger; Chun, Yongwan (Journal article; Peer reviewed, 2015)Good approximations of eigenvalues exist for the regular square and hexagonal tessellations. To complement this situation, spatial scientists need good approximations of eigenvalues for irregular tessellations. Starting ... -
Revisiting the Boston data set. Changing the units of observation affects estimated willingness to pay for clean air
Bivand, Roger (Journal article; Peer reviewed, 2017)Harrison, Rubinfeld (1978c) used a hedonic model to find out how house values were affected by air pollution in Boston, when other variables were taken into consideration. Their primary interest was in estimating willingness ... -
Software for Spatial Statistics
Bivand, Roger; Pebesma, Edzer; Ribeiro, Paulo Justiano (Journal article; Peer reviewed, 2015)We give an overview of the papers published in this special issue on spatial statistics, of the Journal of Statistical Software. 21 papers address issues covering visualization (micromaps, links to Google Maps or Google ... -
Spatial Data Analysis with R-INLA with Some Extensions
Bivand, Roger; Gómez-Rubio, Virgilio; Rue, Håvard (Journal article; Peer reviewed, 2015-01)The integrated nested Laplace approximation (INLA) provides an interesting way of approximating the posterior marginals of a wide range of Bayesian hierarchical models. This approximation is based on conducting a Laplace ... -
Spatial diffusion and spatial statistics: revisting Hägerstrand’s study of innovation diffusion.
Bivand, Roger (Journal article; Peer reviewed, 2015)Torsten Hägerstrand’s 1953 study of innovation diffusion [1] was pathbreaking in many ways. It was based on an explicit micro-model of information spread, and on Monte Carlo simulation of the hypothesised spatial process. ...