Editorial: Spatial statistics: Methods, models & computation

Authors:
James LeSage;Sudipto Banerjee;Manfred M. Fischer;Peter Congdon
Affiliations:
Department of Finance & Economics, Texas State University, United States;School of Public Health, University of Minnesota, United States;Institute for Economic Geography and GIScience, Vienna University of Economics and Business Administration, Austria;Centre for Statistics, Queen Mary, University of London, United Kingdom and Department of Geography, Queen Mary, University of London, United Kingdom
Venue:
Computational Statistics & Data Analysis
Year:
2009

Citing 25
Cited 3

Arbitrarily shaped multiple spatial cluster detection for case event data

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Power calculations for global and local Moran's I

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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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Summary statistics for measuring the relationship among three types of points in multivariate point patterns

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Surveillance to detect emerging space-time clusters

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Approximate methods in Bayesian point process spatial models

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A flexible spatial scan test for case event data

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Spatial scan statistics in loglinear models

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Improving the performance of predictive process modeling for large datasets

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Fast estimation of spatially dependent temporal vegetation trends using Gaussian Markov random fields

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Testing for heteroskedasticity and spatial correlation in a random effects panel data model

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Smooth-CAR mixed models for spatial count data

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Modelling small area counts in the presence of overdispersion and spatial autocorrelation

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Empirical Bayes and Fully Bayes procedures to detect high-risk areas in disease mapping

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On empirical Bayes penalized quasi-likelihood inference in GLMMs and in Bayesian disease mapping and ecological modeling

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Spatial-temporal association between fine particulate matter and daily mortality

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Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models

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A stochastic neighborhood conditional autoregressive model for spatial data

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Modelling the impact of socioeconomic structure on spatial health outcomes

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Spatial latent class analysis model for spatially distributed multivariate binary data

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Spatial point process models for location-allocation problems

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Spatiotemporal and spatial threshold models for relating UV exposures and skin cancer in the central United States

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CART algorithm for spatial data: Application to environmental and ecological data

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Identification of differentially expressed spatial clusters using humoral response microarray data

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Overall and pairwise segregation tests based on nearest neighbor contingency tables

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Statistical inference for doubly stochastic multichannel Poisson processes: A PCA approach

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Forecasting electricity demand in Japan: A Bayesian spatial autoregressive ARMA approach

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Robust exponential smoothing of multivariate time series

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Editorial: Spatial statistics: Methods, models & computation

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Abstract