Abstract
Julian Besag has made a career of identifying emerging areas of statistics and writing important papers about them, just as they were beginning to attract serious attention. Thus Besag (1986) was the second major paper [after Geman and Geman (1984), featured elsewhere in this volume] on the Markov random fields approach to image analysis, while in the 1990s he made a number of contributions to Markov chain Monte Carlo (MCMC) sampling [e.g., Besag and Green (1993); Besag et al. (1995)]. His first major paper, however, laid out the foundations for statistical inference in lattice systems, and so provided the background for much later work, both his own and that of many others.
Keywords
- Conditional Probability
- Lattice System
- Markov Random Field
- Spatial Interaction
- Markov Chain Monte Carlo Method
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References
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Smith, R.L. (1997). Introduction to Besag (1974) Spatial Interaction and the Statistical Analysis of Lattice Systems. In: Kotz, S., Johnson, N.L. (eds) Breakthroughs in Statistics. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0667-5_13
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