Besag, J. (1974). Spatial interaction and the statistical analysis of lattice systems(with Discussions), Journal of the Royal Statistical Society, Series B, 36, 192-236.
Choi, J. S., Park, M. S., Won, Y. B., Kim, H. G. and Heo, T.-Y. (2010). Analysis of total crime count data based on spatial association structure, The Korean Journal of Applied Statistics, 23, 335-344.
Gelfand, A. E. and Smith, A. F. M. (1990). Sampling based approaches to calculating marginal densities, Journal of the American Statistical Association, 85, 398-409.
Gelman, A. and Rubin, D. B. (1992). Inference from iterative simulation using multiple sequence (with Discussion), Statistical Science, 7, 457-511.
Griffith, D. A. (1996). Spatial autocorrelation and eigenfunctions of the geographic weights matrix accompanying geo-referenced data, The Canadian Geographer, 40, 351-367.
Hughes-Oliver, J. M., Heo, T. Y. and Ghosh, S. (2009). An Autoregressive point source model for spatial processes, accepted in Environmetrics.
Jeong, K. S., Moon, T. H., Jeong, J. H. and Heo, S. Y. (2009). Analysis of Spatio-temporal pattern of urban crime and its influencing factors, Journal of the Korean Association of Geographic Information Studies, 12, 12-25.
Kakamu, K., Polasek, W. and Wago, H. (2007). Model choice for panel spatial models: Crime modeling in Japan, Advances in Data Analysis, Springer, 237-244.
Kim, D. H. and Park, K. R. (2009). A probability modeling of the crime occurrence and risk probability map generation based on the urban spatial information, Journal of the Korea Society of Computer and Information, 14, 207-215.
Lee, S. W. (2004). Study Implication of the Urban Plan for Incidence Crime on Seoul, Technical report, Seoul Development Institute.
Lee, S. W. and Cho, J. K. (2006). The effects of spatial and environmental factors on crime victimization, Seoul Studies, 7, 57-76
Park, M. G. (2003). The Implementation of Crime Probability MapUsing GIS Analysis- focused on Sungbook-gu, Seoul, Kyunghee University, Master thesis.
Shin, W.-R. (2005). The Analysis of Spatio-temporal Pattern for Urban Crime: Using GIS Methodology, Kyunghee University, Master thesis.
Spiegelhalter, D. J., Best, N. G., Carlin, B. P., and van der Linde, A. (2002). Bayesian measures of model complexity and fit, Journal Royal Statistical Society, Series B, 64, 583-639.
Tanner, M. A. and Wong, W. H. (1987). The calculation of posterior distributions by data augmentation (with discussion), Journal of the American Statistical Association, 82, 528-550.
Yoon, S. D. (2004). Spatial Econometrics for Discrete Dependent Variable: Bayesian Approach and Gibbs Sampling Application, Statistical Research Institute.