Includes bibliographical references.

Progress in spatial modeling of discrete and continuous dependent variables -- Fast simulated maximum likelihood estimation of the spatial probit model capable of handling large samples -- Likelihood evaluation of high-dimensional spatial latent Gaussian models with non-Gaussian response variables -- The impact of storms on firm survival: a Bayesian spatial econometric model for firm survival -- Bayesian spatial bivariate panel probit estimation -- Estimating binary spatial autoregressive models for rare events -- A multivariate spatial analysis for anticipating new firm counts -- A multivariate spatial-time of day analysis of truck crash frequency across neighborhoods in New York City -- Group interaction in research and the use of general nesting spatial models -- How to measure spillover effects of public capital stock a spatial autoregressive stochastic frontier model -- Local marginal analysis of spatial data: a Gaussian process regression approach with Bayesian model and kernel averaging -- City and industry network impacts on innovation by Chinese manufacturing firms: a hierarchical spatial-interindustry model.

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