1. Cressie, N. and Huang, H.C. (1998). Classes of nonseparable, spatio-temporal stationary covariance functions. Statistical Laboratory Preprint 98-1. Iowa State University, Ames, IA.
2. Cressie, N. and Liu, C. (1998). Binary crystal growth models and symmetric Markov random fields: Further results on their equivalence, in preparation.
3. Kaiser, M.S., Lee, J., and Cressie, N. (1998). Spatial mixture models based on exponential-family conditional distributions, in preparation.
4. Cressie, N. and Lawson, A.B. (1998). Bayesian heirarchical analysis of minefield data, in Detection and Remediation Technologies for Mines and Minelike Targets III, eds. A.C. Dubey, J.F. Harvey, and J.T. Broach, Society of Photo-Optical Instrumentation Engineers (SPIE) Proceedings, Vol. 3392, SPIE, Bellingham, WA, in preparation.
5. Davidson, J.L. and Ashlock, D. (1998). Lexicodes in the space of foot patterns for image classification, in Proceedings of IEEE Southwest Symposium on Image Analysis and Interpretation, Tucson, AZ. Forthcoming.
6. Davidson, J.L., Ashlock, D. and Kumar, V. (1998) Lexicodes for object recognition, in Mathematical Modeling and Estimation Techniques in Computer Vision, eds. F. Preteux, J. Davidson, and E. Dougherty, SPIE Proceedings, in preparation.
7. Cressie, N. and Davidson, J. L. (1995). Image Processing: An Entry in the Encyclopedia of Statistical Sciences (Update). Statistical Laboratory Preprint No. 95-31, Iowa State University, Ames, IA. [Now appears in Encyclopedia of Statistical Sciences, update Vol. 2, eds. S. Kotz, C.B. Read, and D.L. Banks. Wiley, NY (1998), pp. 691-699.]
8. Davidson, J.L. and Cressie, N. (1997). Partially ordered Markov models and their use in texture synthesis. Manuscript.
9. Collins, L.B. and Cressie, N. (1997). Analysis of spatial point patterns using bundles of product density LISA functions. Statistical Laboratory Preprint No. 97-3, Iowa State University, Ames, IA.
10. Cressie, N. and Collins, L.B. (1997). Patterns in spatial point locations: Local indicators of spatial association in a minefield with clutter. Manuscript.
11. Cressie, N. and Lawson, A.B. (1997). Models and inference for clustering of locations of mines and minelike objects, in Detection and Remediation Technologies for Mines and Minelike Targets II, eds. A.C. Dubey and R.L. Barnard. SPIE Proceedings, Vol. 3079, 519-530.
12. Davidson, J.L., Hua, X., and Cressie, N. (1997). Parameter estimation for textures modeled with partially ordered Markov models. Technical Report, Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa.
13. Helterbrand, J.D. and Cressie, N. (1997). Object identification using Markov random field segmentation models at multiple resolutions of a rectangular lattice, in Modelling Longitudinal and Spatially Correlated Data, eds. T. Gregoire et al. Springer Lecture Notes in Statistics, No. 122, Springer, NY, 159-173.
14. Hua, X., Davidson, J.L. and Cressie, N. (1997). Mine boundary detection using partially ordered Markov models, in Statistical and Stochastic Methods in Image Processing II, eds. F. Preteux, J.L. Davidson, and E.R. Dougherty. SPIE Proceedings, Vol. 3167, 152-163.
15. Huang, H.C. (1997). Spatial modeling using graphical Markov models and wavelets. Ph.D. Dissertation. (Major Professor: N. Cressie), Iowa State University, 162 pp.
16. Huang, H.C. and Cressie, N. (1997). Deterministic/stochastic wavelet decomposition for recovery of signal from noisy data. Statistical Laboratory Preprint No. 97-23, Iowa State University, Ames, IA.
17. Huang, H.C. and Cressie, N. (1997). Multiscale spatial modeling, in 1997 Proceedings of the Section on Statistics and the Environment, American Statistical Association, Alexandria, VA, forthcoming.
18. Banerjee, P. (1997). Simulated annealing and genetic algorithms for parameter estimation of textures, M.S. Thesis. (Major Professor: J. Davidson), Department of Electrical and Computer Engineering, Iowa State University, Ames, IA.
19. Cressie, N. and Majure, J.J. (1997). Visualizing spatial dependence in multivariate spatial data. Geographical Systems, forthcoming.
20. Zhang, F. (1997). Genetic algorithms for image object recognition, M.S. Thesis, Department of Mathematics, Iowa State University, Ames, IA.
21. Davidson, J.L., Hua, X., and Ashlock, D. (1996). A comparison of genetic algorithm, regression, and Newton's method for parameter estimation of texture models, in Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, San Antonio, TX, 201-206.
22. Engebretson, C. (1996). Genetic algorithms for texture model identification and synthesis. Manuscript. [First prize in IEEE Region 4 Student Paper Contest, April, 1996.]
23. Engebretson, C., Davidson, J.L., and Ashlock, D. (1996). Genetic algorithms for texture model identification and synthesis, in Statistical and Stochastic Methods for Image Processing, eds. E. Dougherty, F. Preteux, and J.L. Davidson. SPIE Proceedings, Vol. 2823, 20-31.
24. Huang, H.C. and Cressie, N. (1996). Asymptotic properties of maximum likelihood estimators for partially ordered Markov models. Statistical Laboratory Preprint No. 96-7, Iowa State University, Ames, IA.
25. Kaiser, M.S. and Cressie, N. (1996). The construction of multivariate distributions from Markov random fields. Statistical Laboratory Preprint No. 96-34, Iowa State University, Ames, IA.
26. Lee, J., Kaiser, M.S., and Cressie, N. (1996). Multiway dependence in exponential family conditional distributions. Statistical Laboratory Preprint No. 96-17, Iowa State University, Ames, IA.
27. Davidson, J.L., Hua, X., and Ashlock, D. (1996). A comparison of genetic algorithm, regression, and Newton's method for parameter estimation of texture models, Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, San Antonio, TX, 201-206.
28. Engebretson, C., Davidson, J.L., and Ashlock, D. (1996). Genetic algorithms for texture description, Technical Report, Department of Electrical and Computer Engineering, Iowa State University, Ames, IA.
29. Helterbrand, J.D. (1996). One-pixel-wide closed boundary identification. IEEE Transactions on Image Processing, 5, 780-783.
30. Kaiser, M.S., and Cressie, N. (1996). The construction of multivariate distributions from Markov random fields. Statistical Laboratory Preprint No. 96-30, Iowa State University, Ames, IA.
31. Cannon, A. and Cressie, N. (1995). Temporal analogues to spatial K functions. Biometrical Journal, 37, 351-373.
32. Cressie, N. (1995). Bayesian smoothing of rates in small geographic areas. Journal of Regional Science, 35, 659-673.
33. Davidson, J.L., Hua, X., and Ashlock, D. (1995). Genetic algorithms and model selection for texture analysis, in Proceedings of the Fourth Annual Midwest Electro-Technology Conference, Ames, IA 56-59.
34. Davidson, J.L., Hua, X., and Ashlock, D. (1995). Texture analysis using genetic algorithms and partially ordered Markov models, in Neural, Morphological, and Stochastic Methods in Image and Signal Processing, E. Dougherty, F. Preteux, S. Shen, Eds., Proc. SPIE 2568, 197-208.
35. Davidson, J.L., Hua, X., and Cressie, N. (1995). Mine boundary detection using Markov random field models in Detection Technologies for Mines and Minelike Targets, A. Dubey, I. Cindrich, J. Ralston, K. Rigano, Eds., Proc. SPIE, Vol. 2496, 626-636.
36. Helterbrand, J. D., Davidson, J. L., and Cressie, N. (1995). Optimal closed boundary identification in gray-scale imagery. Journal of Mathematical Imaging and Vision, 5, 179-205.
37. Liu, C. and Cressie, N. (1995). On the equivalence between symmetric Ising models and some partially ordered Markov models. Statistical Laboratory Preprint No. 95-5, Iowa State University, Ames, IA.
38. Talukder, A. and Davidson, J.L. (1995) Model selection and texture segmentation using partially ordered Markov models, in Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, Detroit, MI, 2527-2530.
39. Cook, D., Cressie, N., Majure, J., Symanzik, J. (1994). Some dynamic graphics for spatial data (with multiple attributes) in a GIS, in Compstat. Proceedings of 11th Symposium, Vienna, Austria, eds R. Dutter and W. Grossman. Physica-Verlag, Heidelberg, 105-119.
40. Cressie, N. (1994). Comment on "An approach to statistical spatial-temporal modeling of meteorological fields" by M.S. Handcock and J. R. Wallis. Journal of the American Statistical Association, 89, 379-384.
41. Cressie, N. (1994). Models for spatial processes. In Statistical Methods for Physical Science, eds. J. Stanford and S. Vardeman. Academic Press, New York, 93-124.
42. Cressie, N. and Davidson, J. L. (1994). Image analysis with partially ordered Markov models, Statistical Laboratory Preprint No. 94-15, Iowa State University, Ames, IA.
43. Cressie, N. and Kaiser, M.S. (1994). Comment on "Small area estimation: An appraisal" by M. Ghosh and J. N. K. Rao. Statistical Science, 9, 76-82.
44. Davidson, J.L., Talukder, A., and Cressie, N.A.C. (1994) Texture Analysis using Partially Ordered Markov Models, in Proceedings, First IEEE International Conference on Image Processing, Austin, TX, Vol. III, 402-406.
45. Helterbrand, J.D., Cressie, N., and Davidson, J.L. (1994). A statistical approach to identifying closed object boundaries in images. Advances in Applied Probability, 26, 831-854.
46. Talukder, A. (1994). Partially ordered Markov models for texture synthesis and classification, M.S. Thesis, Department of Electrical and Computer Engineering, Iowa State University, Ames, IA.
47. Davidson, J. L. and Cressie, N.A.C. (1993). Markov pyramid models in image analysis, in Image Algebra and Morphological Image Processing IV, eds. E. R. Dougherty, P.D. Gader, and J. C. Serra. Society of Photo-Optical Instrumentation Engineers (SPIE) Proceedings, Vol. 2030, SPIE, Bellingham, WA 179-190.
48. Davidson, J.L. and Talukder, A. (1993). Template identification using simulated annealing in morphology neural networks. In Proceedings, 1993 Second Annual Midwest Electro-Technology Conference, Iowa State University, Ames, IA, 64-67.
49. Helterbrand, J.D. and Cressie, N.A.C. (1993). Stochastic recognition of closed object boundaries in images, in Image Algebra and Morphological Image Processing IV, eds. E. R. Dougherty, P.D. Gader, and J.C. Serra. Society of Photo-Optical Instrumentation Engineers (SPIE) Proceedings, Vol. 2030, SPIE, Bellingham, WA, 240-251.

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