-
1
-
-
0000913755
-
Spatial interaction and the statistical analysis of lattice systems (with discussion)
-
J. Besag, Spatial interaction and the statistical analysis of lattice systems (with discussion), J. Roy. Statistical Soc. (Series B), vol. 36, pp. 192-225, 1974.
-
(1974)
J. Roy. Statistical Soc. (Series B)
, vol.36
, pp. 192-225
-
-
Besag, J.1
-
2
-
-
0000582521
-
-
_, Statistical analysis of nonlattice data, The Statistician, vol. 24, pp. 179-195, 1975.
-
(1975)
The Statistician
, vol.24
, pp. 179-195
-
-
Data, S.A.1
-
3
-
-
0002795650
-
Monte Carlo maximum likelihood for dependent data
-
C. J. Geyer, Monte Carlo maximum likelihood for dependent data,Computer Science and Statistics: Proc. 23rd Symp. Interface, E. M. Keramidas, Ed., 1991, pp. 156-163.
-
Computer Science and Statistics: Proc.
, vol.23
, pp. 156-163
-
-
Geyer, C.J.1
-
4
-
-
85033508932
-
Using ground truth data to design priors in Bayesian SPECT reconstruction
-
M. Lee, A. Rangarajan, I. G. Zubal, and G. Gindi, Using ground truth data to design priors in Bayesian SPECT reconstruction,Information
-
Information
-
-
Lee, M.1
Rangarajan, A.2
Zubal, I.G.3
Gindi, G.4
-
5
-
-
85033544639
-
-
Processing in Medical Imaging, Y. Bizais, C. Barillot, and R. DiPaola, Eds. Dordrecht, the Netherlands: Kluwer, 1995, pp. 27-38.
-
Processing in Medical Imaging, Y. Bizais, C. Barillot, and R. DiPaola, Eds. Dordrecht, the Netherlands: Kluwer
, vol.1995
-
-
-
6
-
-
0000690597
-
Estimation of parameters in hidden Markov models
-
W. Qian and D. M. Titterington, Estimation of parameters in hidden Markov models,P roc. Roy. Soc. London, vol. A 377, 1988, pp. 407-428.
-
P Roc. Roy. Soc. London, Vol. A
, vol.377
, pp. 407-428
-
-
Qian, W.1
Titterington, D.M.2
-
7
-
-
0000415660
-
On the use of Gibbs Markov chain models in the analysis of images based on second-order pairwise interactive distributions
-
W. Qian and D. M. Titterington, On the use of Gibbs Markov chain models in the analysis of images based on second-order pairwise interactive distributions, Appt. Stat., vol. 16, pp. 267-281, 1989.
-
(1989)
Appt. Stat.
, vol.16
, pp. 267-281
-
-
Qian, W.1
Titterington, D.M.2
-
8
-
-
21844519917
-
Fully Bayesian approach to image restoration with an application in biogeography
-
J. Heikkinen and H. Hogmander, Fully Bayesian approach to image restoration with an application in biogeography, Appl. Stat., vol. 43, pp. 569-582, 1994.
-
(1994)
Appl. Stat.
, vol.43
, pp. 569-582
-
-
Heikkinen, J.1
Hogmander, H.2
-
9
-
-
0002200424
-
Statistical methods for tomographic image reconstruction
-
S. Geman and D. McClure, Statistical methods for tomographic image reconstruction, Bulletin of the International Statistical Institute, vol. 52, pp. no. 4 5-21, 1987.
-
(1987)
Bulletin of the International Statistical Institute
, vol.52
, Issue.4
, pp. 5-21
-
-
Geman, S.1
McClure, D.2
-
10
-
-
85033520407
-
Maximum likelihood hyperparameter estimation for Gibbs priors with applications to PET
-
Z. Zhou, R. M. Leahy, and E. U. Mumcuoglu, Maximum likelihood hyperparameter estimation for Gibbs priors with applications to PET,Information Processing in Medical Imaging, Bizais, Barillot, and DiPaola, Eds., Dordrecht, the Netherlands: Kluwer, 1995, pp. 39-52.
-
Information Processing in Medical Imaging, Bizais, Barillot, and DiPaola, Eds., Dordrecht, the Netherlands: Kluwer
, vol.1995
-
-
Zhou, Z.1
Leahy, R.M.2
Mumcuoglu, E.U.3
-
11
-
-
5244304444
-
Efficient estimation of free energy differences from Monte Carlo data
-
C. H. Bennett, Efficient estimation of free energy differences from Monte Carlo data, J. Computat. Phys., vol. 22, pp. 245-268, 1976.
-
(1976)
J. Computat. Phys.
, vol.22
, pp. 245-268
-
-
Bennett, C.H.1
-
12
-
-
0000487096
-
A Monte Carlo method for high dimensional integration
-
Y. Ogata, A Monte Carlo method for high dimensional integration, Numerische Mathematik, vol. 55, pp. 137-157, 1989.
-
(1989)
Numerische Mathematik
, vol.55
, pp. 137-157
-
-
Ogata, Y.1
-
13
-
-
0000051109
-
Constrained Monte Carlo maximum likelihood for dependent data (with discussion)
-
C. J. Geyer and E. A. Thompson, Constrained Monte Carlo maximum likelihood for dependent data (with discussion), J. Royal Statistical Soc. (Series B), vol. 54, pp. 657-699, 1992.
-
(1992)
J. Royal Statistical Soc. (Series B)
, vol.54
, pp. 657-699
-
-
Geyer, C.J.1
Thompson, E.A.2
-
14
-
-
0027677367
-
Polynomial-time approximation algorithms for the Ising model
-
M. Jerrum and A. Sinclair, Polynomial-time approximation algorithms for the Ising model, SIAM J. Computing, vol. 22, pp. 1087-1116, 1993.
-
(1993)
SIAM J. Computing
, vol.22
, pp. 1087-1116
-
-
Jerrum, M.1
Sinclair, A.2
-
15
-
-
0003078723
-
Approximate Bayesian inference with the weighted likelihood bootstrap (disc: P26-48)
-
M. A. Newton and A. E. Raftery, Approximate Bayesian inference with the weighted likelihood bootstrap (disc: P26-48), J. Roy. Statistical Soc. (Series B), vol. 56, pp. 3-26, 1994.
-
(1994)
J. Roy. Statistical Soc. (Series B)
, vol.56
, pp. 3-26
-
-
Newton, M.A.1
Raftery, A.E.2
-
16
-
-
0003941435
-
-
Ph.D. thesis, Dept. Statistics, Univ. of Washington, Seattle
-
D. M. Higdon, Spatial applications of Markov chain Monte Carlo for Bayesian inference, Ph.D. thesis, Dept. Statistics, Univ. of Washington, Seattle, 1994.
-
(1994)
Spatial Applications of Markov Chain Monte Carlo for Bayesian Inference
-
-
Higdon, D.M.1
-
17
-
-
0028392841
-
A generalized Gaussian image model for edge-preserving map estimation
-
C. A. Bouman and K. Sauer, A generalized Gaussian image model for edge-preserving map estimation, IEEE Trans. Image Processing, vol. 3, pp. 162-177, 1994.
-
(1994)
IEEE Trans. Image Processing
, vol.3
, pp. 162-177
-
-
Bouman, C.A.1
Sauer, K.2
-
18
-
-
0004401054
-
Toward Bayesian image analysis
-
J. Besag, Toward Bayesian image analysis, Appl. Stat., vol. 16, pp. 395-407, 1993.
-
(1993)
Appl. Stat.
, vol.16
, pp. 395-407
-
-
Besag, J.1
-
20
-
-
0021518209
-
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
-
S. Geman and D. Geman, Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images, IEEE Trans. Pattern Anal. Machine Intell, vol. PAMI-6, pp. 721-741, 1984.
-
(1984)
IEEE Trans. Pattern Anal. Machine Intell, Vol. PAMI
, vol.6
, pp. 721-741
-
-
Geman, S.1
Geman, D.2
-
21
-
-
0023123263
-
Modeling and segmentation of noisy and textured images using Gibbs random fields
-
H. Derin and H. Eliot, Modeling and segmentation of noisy and textured images using Gibbs random fields, IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-1, pp. 39-55, 1987.
-
(1987)
IEEE Trans. Pattern Anal. Machine Intell., Vol. PAMI
, vol.1
, pp. 39-55
-
-
Derin, H.1
Eliot, H.2
-
22
-
-
0024681039
-
A generalized em algorithm for 3-D Bayesian reconstruction from Poisson data using Gibbs priors
-
T. J. Hebert and R. Leahy, A generalized EM algorithm for 3-D Bayesian reconstruction from Poisson data using Gibbs priors, IEEE Trans. Med. Imag., vol. 8, pp. 194-202, 1989.
-
(1989)
IEEE Trans. Med. Imag.
, vol.8
, pp. 194-202
-
-
Hebert, T.J.1
Leahy, R.2
-
23
-
-
20444440880
-
Random field models in image analysis
-
R. C. Dubes and A. K. Jaines, Random field models in image analysis, Appl. Stat., vol. 16, pp. 131-164, 1989.
-
(1989)
Appl. Stat.
, vol.16
, pp. 131-164
-
-
Dubes, R.C.1
Jaines, A.K.2
-
24
-
-
84945780918
-
Using spatial models as priors in astronomical image analysis
-
R. Molina and B. Ripley, Using spatial models as priors in astronomical image analysis, Appl. Stat., vol. 16, pp. 193-106, 1989.
-
(1989)
Appl. Stat.
, vol.16
, pp. 193-1106
-
-
Molina, R.1
Ripley, B.2
-
25
-
-
28344449679
-
Bayesian image restoration, with two applications in spatial statistics (with discussion)
-
J. Besag, J. York, and A. Mollié, Bayesian image restoration, with two applications in spatial statistics (with discussion), Ann. Inst. Statistical Math., vol. 43, pp. 1-59, 1991.
-
(1991)
Ann. Inst. Statistical Math.
, vol.43
, pp. 1-59
-
-
Besag, J.1
York, J.2
Mollié, A.3
-
26
-
-
0025404969
-
Bayesian reconstructions from emission tomography data using a modified em algorithm
-
P. J. Green, Bayesian reconstructions from emission tomography data using a modified EM algorithm, IEEE Trans. Med. Imag., vol. 9, pp. 84-93, 1990.
-
(1990)
IEEE Trans. Med. Imag.
, vol.9
, pp. 84-93
-
-
Green, P.J.1
-
27
-
-
0026154623
-
Image restoration using Gibbs priors: Boundary modeling, treatment of blurring, and selection of hyperparameter
-
V. E. Johnson, W. H. Wong, X. Hu, and C.-T. Chen, Image restoration using Gibbs priors: Boundary modeling, treatment of blurring, and selection of hyperparameter, IEEE Trans. Pattern Anal. Machine Intell., vol. 13, pp. 413-425, 1991.
-
(1991)
IEEE Trans. Pattern Anal. Machine Intell.
, vol.13
, pp. 413-425
-
-
Johnson, V.E.1
Wong, W.H.2
Hu, X.3
Chen, C.-T.4
-
28
-
-
84983600489
-
Incorporation of anatomical MR data for improved functional imaging with PET
-
R. Leahy and X. Yan, Incorporation of anatomical MR data for improved functional imaging with PET,Information Processing in Medical Imaging, A. C. F. Colchester and D. J. Hawkes, Eds. New York: Springer-Verlag, pp. 105-120, 1991.
-
(1991)
Information Processing in Medical Imaging, A. C. F. Colchester and D. J. Hawkes, Eds. New York: Springer-Verlag, Pp.
, vol.105
-
-
Leahy, R.1
Yan, X.2
-
29
-
-
0042547659
-
Bayesian reconstruction of functional images using registered anatomical images as priors
-
G. Gindi, M. Lee, A. Rangarajan, and I. G. Zubal, Bayesian reconstruction of functional images using registered anatomical images as priors,Information Processing in Medical Imaging, A. C. F. Colchester and D. J. Hawkes, Eds. New York: Springer-Verlag, pp. 121-131, 1991.
-
(1991)
Information Processing in Medical Imaging, A. C. F. Colchester and D. J. Hawkes, Eds. New York: Springer-Verlag, Pp.
, vol.121
-
-
Gindi, G.1
Lee, M.2
Rangarajan, A.3
Zubal, I.G.4
-
30
-
-
21344496016
-
A model for segmentation and analysis of noisy images
-
V. E. Johnson, A model for segmentation and analysis of noisy images, J. Amer. Statistical Assoc., vol. 89, pp. 230-241, 1994.
-
(1994)
J. Amer. Statistical Assoc.
, vol.89
, pp. 230-241
-
-
Johnson, V.E.1
-
31
-
-
84950453304
-
Sampling based approaches to calculating marginal densities
-
A. E. Gelfand and A. F. M. Smith, Sampling based approaches to calculating marginal densities, J. Amer. Statistical Assoc., vol. 85, pp. 389-409, 1990.
-
(1990)
J. Amer. Statistical Assoc.
, vol.85
, pp. 389-409
-
-
Gelfand, A.E.1
Smith, A.F.M.2
-
32
-
-
0141477361
-
Bayesian computation and stochastic systems (with discussion)
-
J. Besag, P. J. Green, D. M. Higdon, and K. Mengersen, Bayesian computation and stochastic systems (with discussion), Statistical Sci., vol. 10, pp. 3-66, 1995.
-
(1995)
Statistical Sci.
, vol.10
, pp. 3-66
-
-
Besag, J.1
Green, P.J.2
Higdon, D.M.3
Mengersen, K.4
-
33
-
-
0023421482
-
A maximum a posteriori probability expectation maximization algorithm for image reconstruction in emission tomography
-
E. Levitan and G.T. Herman, A maximum a posteriori probability expectation maximization algorithm for image reconstruction in emission tomography, IEEE Trans. Med. Imag., vol. 6, pp. 185-192, 1987.
-
(1987)
IEEE Trans. Med. Imag.
, vol.6
, pp. 185-192
-
-
Levitan, E.1
Herman, G.T.2
-
37
-
-
0031503760
-
Fully Bayesian reconstructions from single photon emission computed tomography
-
I Weir, Fully Bayesian reconstructions from single photon emission computed tomography, J. Amer. Statistical Assoc., vol. 92, pp. 49-60, 1997.
-
(1997)
J. Amer. Statistical Assoc.
, vol.92
, pp. 49-60
-
-
Weir, I.1
-
38
-
-
33747783920
-
-
Dept. Electrical and Computer Engineering, Purdue Univ., Tech. Rep. TR-ECE-95-24
-
S. S. Saquib, C. A. Bouman, and K. Sauer, Maximum likelihood parameter estimation for Markov random fields, with applications to Bayesian tomography, Dept. Electrical and Computer Engineering, Purdue Univ., Tech. Rep. TR-ECE-95-24, 1995.
-
(1995)
Maximum Likelihood Parameter Estimation for Markov Random Fields, with Applications to Bayesian Tomography
-
-
Saquib, S.S.1
Bouman, C.A.2
Sauer, K.3
-
39
-
-
21444451325
-
Simulating ratios of normalizing constants via a simple identity
-
X. Meng and W. Wong, Simulating ratios of normalizing constants via a simple identity, Statistica Sinca, vol. 6, pp. 831-860, 1996.
-
(1996)
Statistica Sinca
, vol.6
, pp. 831-860
-
-
Meng, X.1
Wong, W.2
-
40
-
-
0039324763
-
Simulating normalizing constants: From importance sampling to bridge sampling to path sampling
-
Colombia Univ., New York
-
A. Gelman and X. Meng, Simulating normalizing constants: from importance sampling to bridge sampling to path sampling, Technical report, Dept. Statistics, Colombia Univ., New York, 1996.
-
(1996)
Technical Report, Dept. Statistics
-
-
Gelman, A.1
Meng, X.2
-
41
-
-
0010293907
-
A statistical model for positron emission tomography
-
Y. Vardi, L. Shepp, and L. Kaufman, A statistical model for positron emission tomography, J. Amer. Statistical Assoc., vol. 80, pp. 8-25, 1985.
-
(1985)
J. Amer. Statistical Assoc.
, vol.80
, pp. 8-25
-
-
Vardi, Y.1
Shepp, L.2
Kaufman, L.3
-
42
-
-
0000576595
-
Markov chains for exploring posterior distributions (with discussion)
-
L. Tierney, Markov chains for exploring posterior distributions (with discussion), Ann. Statistics, vol. 21, pp. 1701-1762, 1994.
-
(1994)
Ann. Statistics
, vol.21
, pp. 1701-1762
-
-
Tierney, L.1
-
43
-
-
77956890234
-
Monte Carlo sampling methods using Markov chains and their applications
-
W. K. Hastings, Monte Carlo sampling methods using Markov chains and their applications, Biometrika, vol. 57, pp. 97-109, 1970.
-
(1970)
Biometrika
, vol.57
, pp. 97-109
-
-
Hastings, W.K.1
-
44
-
-
0021166670
-
Improved SPECT quantification using compensation for scattered photons
-
R. J. Jaszczak, K. L. Greer, C. E. Floyd, Jr., C. C. Harris, and R. E. Coleman, Improved SPECT quantification using compensation for scattered photons, J. Nucl. Med., vol. 25, pp. 893-900, 1984.
-
(1984)
J. Nucl. Med.
, vol.25
, pp. 893-900
-
-
Jaszczak, R.J.1
Greer, K.L.2
Floyd, C.E.3
Jr4
Harris, C.C.5
Coleman, R.E.6
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