This is a preview of subscription content, log in via an institution to check access.
Additional References
Amit, Y., Grenander, U. and Piccioni, M. (1991). Structured image restoration through deformable templates, J. Amer. Statist. Assoc. (to appear).
Besag, J. E. (1977). Errors-in-variables estimation for Gaussian lattice schemes, J. Roy. Statist. Soc. Ser. B, 39, 73–78.
Besag, J. E. (1978). Some methods of statistical analysis for spatial data (with discussion), Bull. Internat. Statist. Inst., 47, Book 2, 77–92.
Besag, J. E. (1981). On a system of two-dimensional recurrence equations, J. Roy. Statist. Soc. Ser. B, 43, 302–309.
Besag, J. E. and Clifford, P. (1989). Generalized Monte Carlo significance tests, Biometrika, 76, 633–642.
Besag, J. E. and Clifford, P. (1991). Sequential Monte Carlo p-values, Biometrika, 78 (to appear).
Comets, F. (1989). On the consistency of a class of estimators for exponential families of Markov random fields on the lattice, Universite de Paris-X (preprint).
Fredkin, D. R. and Rice, J. A. (1991). Bayesian restoration of single channel patch clamp recordings, Biometrics (to appear).
Geman, D. (1991). Random fields and inverse problems in imaging, Lecture Notes in Math., Springer, Berlin (to appear).
Geman, D. and Reynolds, G. (1991). Constrained restoration and the recovery of discontinuities, Tech. Report, Department of Mathematics and Statistics, University of Massachusetts at Amherst.
Geyer, C. J. and Thompson, E. A. (1991). Maximum likelihood in exponential families (with discussion), J. Roy. Statist. Soc. Ser. B, 53 (to appear).
Gidas, B. (1987). Consistency of maximum likelihood and pseudolikelihood estimators for Gibbs distributions, Proceedings of the Workshop on Stochastic Differential Systems with Applications, Springer.
Green, P. J. (1986). Discussion: On the statistical analysis of dirty pictures, by Besag, J. E., J. Roy. Statist. Soc. Ser. B, 48, 259–302.
Grenander, U. (1989). Advances in pattern theory, Ann. Statist., 17, 1–30.
Guyon, X. (1987). Estimation d'un champ par pseudo-vraisemblance conditionelle: étude asymptotique et application au cas markovien, Actes de la 6éme Rencontre Franco-Belge de Statisticiens, Edition des Facultés Universitaires de Saint-Louis, Bruxelles.
Jensen, J. L. and Møller, J. (1989). Pseudolikelihood for exponential family models of spatial processes, Research Report, No. 203, Department of Theoretical Statistics, Institute of Mathematics, University of Aarhus, Denmark.
Lippman, A. (1991). Markov models for speech recognition, Spatial Statistics and Image Processing: a Cross-Disciplinary Report (eds. J. J. Simpson and J. E. Besag), National Academy of Sciences Press, Washington, D. C.
Mollié, A. and Richardson, S. (1991). Empirical Bayes estimates of cancer mortality rates using spatial models, Statist. Med., 10, 95–112.
Qian, W. and Titterington, D. M. (1991). Stochastic relaxations and E-M algorithm for Markov random fields, J. Statist. Comput. Simulation (to appear).
Ripley, B. D. (1981). Spatial Statistics, Wiley, New York.
Sheehan, N. A. (1990). Image processing procedures applied to the estimation of genotypes on pedigrees, Tech. Report, No. 176, Department of Statistics, University of Washington.
Swendsen, R. H. and Wang, J-S. (1987). Non-universal critical dynamics in Monte Carlo simulations, Phys. Rev. Lett., 58, 86–88.
Thomas, A. (1991). Genotypic inference with the Gibbs sampler, Proceedings for the Workshop on Analytic Methods for Population Viability and Analyses, Front Royal, Virginia, October 1989 (to appear).
Author information
Authors and Affiliations
About this article
Cite this article
Besag, J. Rejoinder. Ann Inst Stat Math 43, 45–59 (1991). https://doi.org/10.1007/BF00116468
Issue Date:
DOI: https://doi.org/10.1007/BF00116468