-
1
-
-
0000501656
-
Information theory and an extension of the maximum likelihood principle
-
Akadémiai Kiadó, Budapest
-
Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In, Second International Symposium on Information Theory (Tsahkasdor, 1971) 267-281. Akadémiai Kiadó, Budapest.
-
(1973)
Second International Symposium On Information Theory (Tsahkasdor, 1971)
, pp. 267-281
-
-
Akaike, H.1
-
2
-
-
0000913755
-
Spatial interaction and the statistical analysis of lattice systems (with discussion)
-
Mathematical Reviews (MathSciNet): MR373208 JSTOR: links.jstor.org
-
Besag, J. E. (1974). Spatial interaction and the statistical analysis of lattice systems (with discussion)., J. Roy. Statist. Soc. Ser. B 36 192-236. Mathematical Reviews (MathSciNet): MR373208 JSTOR: links.jstor.org
-
(1974)
J. Roy. Statist. Soc. Ser. B
, vol.36
, pp. 192-236
-
-
Besag, J.E.1
-
3
-
-
0000013152
-
On the statistical analysis of dirty pictures
-
Mathematical Reviews (MathSciNet): MR876840 JSTOR: links.jstor.org
-
Besag, J. E. (1986). On the statistical analysis of dirty pictures., J. Roy. Statist. Soc. Ser. B 48 259-302. Mathematical Reviews (MathSciNet): MR876840 JSTOR: links.jstor.org
-
(1986)
J. Roy. Statist. Soc. Ser. B
, vol.48
, pp. 259-302
-
-
Besag, J.E.1
-
4
-
-
0030613470
-
Model selection: An integral part of inference
-
Buckland, S. T., Burnham, K. P. and Augustin, N. H. (1997). Model selection: An integral part of inference., Biometrics 53 603-618.
-
(1997)
Biometrics
, vol.53
, pp. 603-618
-
-
Buckland, S.T.1
Burnham, K.P.2
Augustin, N.H.3
-
6
-
-
23044502688
-
Use of magnetic resonance imaging to assess blood-brain/blood-glioma barrier opening during conformal radiotherapy
-
Cao, Y., Tsien, C. I., Shen, Z., Tatro, D. S., Ten Haken, R., Kessler, M. L., Chenevert, T. L. and Lawrence, T. S. (2005). Use of magnetic resonance imaging to assess blood-brain/blood-glioma barrier opening during conformal radiotherapy., J. Clinical Oncology 23 4127-4136.
-
(2005)
J. Clinical Oncology
, vol.23
, pp. 4127-4136
-
-
Cao, Y.1
Tsien, C.I.2
Shen, Z.3
Tatro, D.S.4
Ten, H.R.5
Kessler, M.L.6
Chenevert, T.L.7
Lawrence, T.S.8
-
7
-
-
13844251687
-
-
Springer, New York, Mathematical Reviews (MathSciNet): MR2159833 Zentralblatt MATH: 1080.62065
-
Cappe, O., Moulines, E. and Ryden, T. (2005)., Inference in Hidden Markov Models. Springer, New York. Mathematical Reviews (MathSciNet): MR2159833 Zentralblatt MATH: 1080.62065
-
(2005)
Inference In Hidden Markov Models
-
-
Cappe, O.1
Moulines, E.2
Ryden, T.3
-
8
-
-
0002241694
-
The SEM algorithm: A probabilistic teacher algorithm derived from the EM algorithm for the mixture problem
-
Celeux, G. and Diebolt, J. (1985). The SEM algorithm: A probabilistic teacher algorithm derived from the EM algorithm for the mixture problem., Comput. Statist. Quarterly 2 73-82.
-
(1985)
Comput. Statist. Quarterly
, vol.2
, pp. 73-82
-
-
Celeux, G.1
Diebolt, J.2
-
9
-
-
0024855884
-
An iterative Gibbsian technique for reconstruction of, M-ary images
-
Chalmond, B. (1989). An iterative Gibbsian technique for reconstruction of, M-ary images. Pattern Recognition 22 747-761.
-
(1989)
Pattern Recognition
, vol.22
, pp. 747-761
-
-
Chalmond, B.1
-
10
-
-
1142265325
-
The focused information criterion (with discussion)
-
Mathematical Reviews (MathSciNet): MR2041482 Zentralblatt MATH: 1045.62003 Digital Object Identifier: doi:10.1198/016214503000000819
-
Claeskens, G. and Hjort, N. L. (2003). The focused information criterion (with discussion)., J. Amer. Statist. Assoc. 98 900-945. Mathematical Reviews (MathSciNet): MR2041482 Zentralblatt MATH: 1045.62003 Digital Object Identifier: doi:10.1198/016214503000000819
-
(2003)
J. Amer. Statist. Assoc
, vol.98
, pp. 900-945
-
-
Claeskens, G.1
Hjort, N.L.2
-
11
-
-
0033243858
-
Convergence of a stochastic approximation version of the EM algorithm
-
Mathematical Reviews (MathSciNet): MR1701103 Zentralblatt MATH: 0932.62094 Digital Object Identifier: doi:10.1214/aos/1018031103 Project Euclid: euclid.aos/1018031103
-
Delyon, B., Lavielle, M. and Moulines, E. (1999). Convergence of a stochastic approximation version of the EM algorithm., Ann. Statist. 27 94-128. Mathematical Reviews (MathSciNet): MR1701103 Zentralblatt MATH: 0932.62094 Digital Object Identifier: doi:10.1214/aos/1018031103 Project Euclid: euclid.aos/1018031103
-
(1999)
Ann. Statist
, vol.27
, pp. 94-128
-
-
Delyon, B.1
Lavielle, M.2
Moulines, E.3
-
12
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
Mathematical Reviews (MathSciNet): MR501537 JSTOR: links.jstor.org
-
Dempster, A. P., Laird, N. M. and Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm., J. Roy. Statist. Soc. Ser. B 39 1-38. Mathematical Reviews (MathSciNet): MR501537 JSTOR: links.jstor.org
-
(1977)
J. Roy. Statist. Soc. Ser. B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
13
-
-
0032216613
-
Spatio-temporal fMRI analysis using Markov random fields
-
Descombes, X., Kruggel, F. and von Cramon, D. Y. (1998a). Spatio-temporal fMRI analysis using Markov random fields., IEEE Trans. Medical Imaging 17 1028-1039.
-
(1998)
IEEE Trans. Medical Imaging
, vol.17
, pp. 1028-1039
-
-
Descombes, X.1
Kruggel, F.2
von Cramon, D.Y.3
-
14
-
-
0032211488
-
fMRI signal restoration using a spatio-temporal Markov random field preserving transitions
-
Descombes, X., Kruggel, F. and von Cramon, D. Y. (1998b). fMRI signal restoration using a spatio-temporal Markov random field preserving transitions., NeuroImage 8 340-349.
-
(1998)
NeuroImage
, vol.8
, pp. 340-349
-
-
Descombes, X.1
Kruggel, F.2
von Cramon, D.Y.3
-
15
-
-
12344323744
-
Unsupervised image segmentation using a simple MRF model with a new implementation scheme
-
Deng, H. and Clausi, D. A. (2004). Unsupervised image segmentation using a simple MRF model with a new implementation scheme., Pattern Recognition 37 2323-2335.
-
(2004)
Pattern Recognition
, vol.37
, pp. 2323-2335
-
-
Deng, H.1
Clausi, D.A.2
-
16
-
-
24144441307
-
A stochastic method for Bayesian estimation of hidden Markov random field models with application to a color model
-
Mathematical Reviews (MathSciNet): MR2171966 Digital Object Identifier: doi:10.1109/TIP.2005.851710
-
Destrempes, F., Mignotte, M. and Angers, J. F. (2005). A stochastic method for Bayesian estimation of hidden Markov random field models with application to a color model., IEEE Trans. Image Process. 14 1096-1108. Mathematical Reviews (MathSciNet): MR2171966 Digital Object Identifier: doi:10.1109/TIP.2005.851710
-
(2005)
IEEE Trans. Image Process
, vol.14
, pp. 1096-1108
-
-
Destrempes, F.1
Mignotte, M.2
Angers, J.F.3
-
17
-
-
0036109418
-
Global optimization with exploration/selection algorithms and simulated annealing
-
Mathematical Reviews (MathSciNet): MR1890064 Zentralblatt MATH: 1012.60066 Digital Object Identifier: doi:10.1214/aoap/1015961163 Project Euclid: euclid.aoap/1015961163
-
Francois, O. (2002). Global optimization with exploration/selection algorithms and simulated annealing., Ann. Appl. Probab. 12 248-271. Mathematical Reviews (MathSciNet): MR1890064 Zentralblatt MATH: 1012.60066 Digital Object Identifier: doi:10.1214/aoap/1015961163 Project Euclid: euclid.aoap/1015961163
-
(2002)
Ann. Appl. Probab
, vol.12
, pp. 248-271
-
-
Francois, O.1
-
18
-
-
28044466211
-
Evaluation of the functional diffusion map as an early biomarker of time-to-progression and overall survival in high-grade glioma
-
Hamstra, D. A., Chenevert, T. L., Moffat, B. A., Johnson, T. D., Meyer, C. R., Mukherji, S. K., Quint, D. J., Gebarski, S. S., Fan, X., Tsien, C. I., Lawrence, T. S., Junck, L., Rehemtulla, A. and Ross, B. D. (2005). Evaluation of the functional diffusion map as an early biomarker of time-to-progression and overall survival in high-grade glioma., Proc. Natl. Acad. Sci. 46 16759-16764.
-
(2005)
Proc. Natl. Acad. Sci
, vol.46
, pp. 16759-16764
-
-
Hamstra, D.A.1
Chenevert, T.L.2
Moffat, B.A.3
Johnson, T.D.4
Meyer, C.R.5
Mukherji, S.K.6
Quint, D.J.7
Gebarski, S.S.8
Fan, X.9
Tsien, C.I.10
Lawrence, T.S.11
Junck, L.12
Rehemtulla, A.13
Ross, B.D.14
-
19
-
-
1142277415
-
Frequentist model average estimators
-
Mathematical Reviews (MathSciNet): MR2041481 Zentralblatt MATH: 1047.62003 Digital Object Identifier: doi:10.1198/016214503000000828
-
Hjort, N. L. and Claeskens, G. (2003). Frequentist model average estimators., J. Amer. Statist. Assoc. 98 879-899. Mathematical Reviews (MathSciNet): MR2041481 Zentralblatt MATH: 1047.62003 Digital Object Identifier: doi:10.1198/016214503000000828
-
(2003)
J. Amer. Statist. Assoc
, vol.98
, pp. 879-899
-
-
Hjort, N.L.1
Claeskens, G.2
-
20
-
-
77956889087
-
Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
-
Mathematical Reviews (MathSciNet): MR1380810 Zentralblatt MATH: 0861.62023 Digital Object Identifier: doi:10.1093/biomet/82.4.711 JSTOR: links.jstor.org
-
Green, P. J. (1995). Reversible jump Markov chain Monte Carlo computation and Bayesian model determination., Biometrica 8 711-732. Mathematical Reviews (MathSciNet): MR1380810 Zentralblatt MATH: 0861.62023 Digital Object Identifier: doi:10.1093/biomet/82.4.711 JSTOR: links.jstor.org
-
(1995)
Biometrica
, vol.8
, pp. 711-732
-
-
Green, P.J.1
-
21
-
-
0024715149
-
Simultaneous parameter estimation and segmentation of Gibbs random fields using simulated annealing
-
Lakshmanan, S. and Derin, H. (1989). Simultaneous parameter estimation and segmentation of Gibbs random fields using simulated annealing., IEEE Trans. Pattern Analysis and Machines Intelligence 2 799-813.
-
(1989)
IEEE Trans. Pattern Analysis and Machines Intelligence
, vol.2
, pp. 799-813
-
-
Lakshmanan, S.1
Derin, H.2
-
22
-
-
0000088579
-
On jointly estimating parameters and missing data by maximizing the complete-data likelihood
-
Little, R. J. A. and Rubin, D. B. (1983). On jointly estimating parameters and missing data by maximizing the complete-data likelihood., American Statistician 37 218-220.
-
(1983)
American Statistician
, vol.37
, pp. 218-220
-
-
Little, R.J.A.1
Rubin, D.B.2
-
23
-
-
0036033417
-
Statistical properties of X-ray CT and MRI from imaging physics to image statistics
-
Lei, T. and Udupa, J. K. (2002). Statistical properties of X-ray CT and MRI from imaging physics to image statistics., Proceedings of the SPIE, Medical Imaging 4682 82-93.
-
(2002)
Proceedings of the SPIE, Medical Imaging
, vol.4682
, pp. 82-93
-
-
Lei, T.1
Udupa, J.K.2
-
24
-
-
0041469708
-
Image analysis: Recovering the true scene from noisy images
-
Lei, T. and Udupa, J. K. (2003). Image analysis: Recovering the true scene from noisy images., Proceedings of the SPIE, Image Processing 5032 1719-1727.
-
(2003)
Proceedings of the SPIE Image Processing
, vol.5032
, pp. 1719-1727
-
-
Lei, T.1
Udupa, J.K.2
-
26
-
-
0001044972
-
Finding the observed information matrix when using the EM algorithm
-
Mathematical Reviews (MathSciNet): MR676213 JSTOR: links.jstor.org
-
Louis, T. (1982). Finding the observed information matrix when using the EM algorithm., J. Roy. Statist. Soc. Ser. B 44 226-233. Mathematical Reviews (MathSciNet): MR676213 JSTOR: links.jstor.org
-
(1982)
J. Roy. Statist. Soc. Ser. B
, vol.44
, pp. 226-233
-
-
Louis, T.1
-
27
-
-
0036475031
-
Double Markov random fields and Bayesian image segmentation
-
Mathematical Reviews (MathSciNet): MR1946392 Digital Object Identifier: doi:10.1109/78.978390
-
Melas, D. E. and Wilson, S. P. (2002). Double Markov random fields and Bayesian image segmentation., IEEE Trans. Signal Process. 50 357-365. Mathematical Reviews (MathSciNet): MR1946392 Digital Object Identifier: doi:10.1109/78.978390
-
(2002)
IEEE Trans. Signal Process
, vol.50
, pp. 357-365
-
-
Melas, D.E.1
Wilson, S.P.2
-
28
-
-
20244364105
-
Functional diffusion map: A noninvasive MRI biomarker for early stratification of clinical brain tumor response
-
Moffat, B. A., Chenevert, T. L., Lawrence, T. S., Meyer, C. R., Johnson, T. D., Dong, Q., Tsien, C., Mukherji, S., Quint, D. J., Gebarski, S. S., Robertson, P. L., Junck, L. R., Rehemtulla, A. and Ross, B. D. (2005). Functional diffusion map: A noninvasive MRI biomarker for early stratification of clinical brain tumor response., Proc. Natl. Acad. Sci. USA 102 5524-5529.
-
(2005)
Proc. Natl. Acad. Sci. USA
, vol.102
, pp. 5524-5529
-
-
Moffat, B.A.1
Chenevert, T.L.2
Lawrence, T.S.3
Meyer, C.R.4
Johnson, T.D.5
Dong, Q.6
Tsien, C.7
Mukherji, S.8
Quint, D.J.9
Gebarski, S.S.10
Robertson, P.L.11
Junck, L.R.12
Rehemtulla, A.13
Ross, B.D.14
-
30
-
-
84926736518
-
Some generalized order-disorder transformations
-
Mathematical Reviews (MathSciNet): MR47571 Digital Object Identifier: doi:10.1017/S0305004100027419
-
Potts, R. B. (1952). Some generalized order-disorder transformations., Proc. Cambridge Philos. Soc. 48 106-109. Mathematical Reviews (MathSciNet): MR47571 Digital Object Identifier: doi:10.1017/S0305004100027419
-
(1952)
Proc. Cambridge Philos. Soc
, vol.48
, pp. 106-109
-
-
Potts, R.B.1
-
31
-
-
0034823448
-
Bayesian approach to segmentation of statistical parametric maps
-
Rajapakse, J. C. and Piyaratna, J. (2001). Bayesian approach to segmentation of statistical parametric maps., IEEE Trans. Biomedical Engineering 48 1186-1194.
-
(2001)
IEEE Trans. Biomedical Engineering
, vol.48
, pp. 1186-1194
-
-
Rajapakse, J.C.1
Piyaratna, J.2
-
32
-
-
0003738155
-
-
Wiley, New York, Mathematical Reviews (MathSciNet): MR899519 Zentralblatt MATH: 1070.62007
-
Rubin, D. B. (1987)., Multiple Imputation for Nonresponse in Sample Surveys. Wiley, New York. Mathematical Reviews (MathSciNet): MR899519 Zentralblatt MATH: 1070.62007
-
(1987)
Multiple Imputation For Nonresponse In Sample Surveys
-
-
Rubin, D.B.1
-
33
-
-
0000120766
-
Estimating the dimension of a model
-
Mathematical Reviews (MathSciNet): MR468014 Zentralblatt MATH: 0379.62005 Digital Object Identifier: doi:10.1214/aos/1176344136 Project Euclid: euclid.aos/1176344136
-
Schwarz, G. (1978). Estimating the dimension of a model., Ann. Statist. 6 461-464. Mathematical Reviews (MathSciNet): MR468014 Zentralblatt MATH: 0379.62005 Digital Object Identifier: doi:10.1214/aos/1176344136 Project Euclid: euclid.aos/1176344136
-
(1978)
Ann. Statist
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
34
-
-
33746698314
-
Unsupervised image segmentation using Markov random fields
-
Springer, Berlin
-
Sengur, A., Turkoglu, I. and Ince, C. M. (2006). Unsupervised image segmentation using Markov random fields., Lecture Notes in Artificial Intelligence 3949 158-167. Springer, Berlin.
-
(2006)
Lecture Notes In Artificial Intelligence
, vol.3949
, pp. 158-167
-
-
Sengur, A.1
Turkoglu, I.2
Ince, C.M.3
-
35
-
-
0033624947
-
Probabilistic modeling of single-trial fMRI data
-
Svensen, M., Kruggel, F. and Cramon, D. Y. (2000). Probabilistic modeling of single-trial fMRI data., IEEE Trans. Medical Imaging 19 25-35.
-
(2000)
IEEE Trans. Medical Imaging
, vol.19
, pp. 25-35
-
-
Svensen, M.1
Kruggel, F.2
Cramon, D.Y.3
-
36
-
-
33747349191
-
Nonuniversal critical dynamics in Monte Carlo simulations
-
Swendsen, R. H. and Wang, J. S. (1987). Nonuniversal critical dynamics in Monte Carlo simulations., Phys. Rev. Lett. 58 86-88.
-
(1987)
Phys. Rev. Lett
, vol.58
, pp. 86-88
-
-
Swendsen, R.H.1
Wang, J.S.2
-
37
-
-
33746609417
-
Contextual modeling of function MR images with conditional random fields
-
Wang, Y. and Rajapakse, J. (2006). Contextual modeling of function MR images with conditional random fields., IEEE Trans. Medical Imaging 25 804-812.
-
(2006)
IEEE Trans. Medical Imaging
, vol.25
, pp. 804-812
-
-
Wang, Y.1
Rajapakse, J.2
-
38
-
-
84950432017
-
A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithms
-
Wei, G. C. G. and Tanner, M. A. (1990). A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithms., J. Amer. Statist. Assoc. 85 699-704.
-
(1990)
J. Amer. Statist. Assoc
, vol.85
, pp. 699-704
-
-
Wei, G.C.G.1
Tanner, M.A.2
-
39
-
-
44049114806
-
Unsupervised segmentation of noisy and textured images using Markov random fields
-
Won, C. S. and Derin, H. (1992). Unsupervised segmentation of noisy and textured images using Markov random fields., Graphical Models and Image Processing 54 308-328.
-
(1992)
Graphical Models and Image Processing
, vol.54
, pp. 308-328
-
-
Won, C.S.1
Derin, H.2
-
40
-
-
11844293467
-
Mixture models with adaptive spatial regularization for segmentation with an application to fMRI data
-
Woolrich, M. W., Behrens, T. E., Beckmann, C. F. and Smith, S. M. (2005). Mixture models with adaptive spatial regularization for segmentation with an application to fMRI data., IEEE Trans. Medical Imaging 24 1-11.
-
(2005)
IEEE Trans. Medical Imaging
, vol.24
, pp. 1-11
-
-
Woolrich, M.W.1
Behrens, T.E.2
Beckmann, C.F.3
Smith, S.M.4
-
41
-
-
0029096148
-
Analysis of fMRI time-series revisited-Again
-
Worsley, K. J. and Friston, K. J. (1995). Analysis of fMRI time-series revisited-Again., NeuroImage 2 173-181.
-
(1995)
NeuroImage
, vol.2
, pp. 173-181
-
-
Worsley, K.J.1
Friston, K.J.2
-
42
-
-
0028466714
-
Maximum-likelihood parameter estimation for unsupervised stochastic model-based image segmentation
-
Zhang, J., Modestino, J. W. and Langan, D. A. (1994). Maximum-likelihood parameter estimation for unsupervised stochastic model-based image segmentation., IEEE Trans. Image Process. 3 404-420.
-
(1994)
IEEE Trans. Image Process
, vol.3
, pp. 404-420
-
-
Zhang, J.1
Modestino, J.W.2
Langan, D.A.3
-
43
-
-
0034745001
-
Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
-
Zhang, Y., Brady, M. and Smith, S. (2001). Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm., IEEE Trans. Medical Imaging 20 45-57.
-
(2001)
IEEE Trans. Medical Imaging
, vol.20
, pp. 45-57
-
-
Zhang, Y.1
Brady, M.2
Smith, S.3
|