A Bayesian analysis of dual autoradiographic images

Computational Statistics and Data Analysis

Volumn 53, Issue 12, 2009, Pages 4570-4583

  Johnson, Timothy D ^a   Piert, Morand ^a  

^a UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANGIOGENESIS; BAYESIAN; BAYESIAN ANALYSIS; BIVARIATE; BIVARIATE NORMAL DISTRIBUTIONS; ESTIMATION METHODS; IMAGE MODELS; MODEL CORRELATION; POTTS MODELS; RADIOLABELED TRACERS; REGULARIZATION PARAMETERS; REVERSIBLE JUMP; REVERSIBLE JUMP MCMC; SIMULATION STUDIES; SPATIAL CORRELATIONS; TRACER CONCENTRATION; TUMOR MODELS;

ANIMALS; BAYESIAN NETWORKS; IMAGE SEGMENTATION; NORMAL DISTRIBUTION; SET THEORY; TUMORS;

CORRELATION METHODS;

EID: 69449101580     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2009.05.023     Document Type: Article

References (17)

1. Besag J.E. Spatial interaction and the statistical analysis of lattice systems. Journal of the Royal Statistical Society, Series B 36 (1974) 192-236
2. Gelman A., and Meng X. Simulating normalizing constants: From importance sampling to bridge sampling to path sampling. Statistical Science 13 (1998) 163-185
3. Green P.J. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika 82 (1995) 711-732
4. Green P.J., and Richardson S. Hidden markov models and disease mapping. Journal of the American Statistical Association 97 (2002) 1055-1070
5. Halmos P.R. Naive Set Theory (1998), Springer, New York
6. Hastings W.K. Monte Carlo sampling methods using Markov chains and their applications. Biometrika 57 (1970) 97-109
7. 3 integrin antagonists: A new class of tracers for tumor targeting. Journal of Nuclear Medicine 40 (1999) 1061-1071
8. Higdon D.M. Auxiliary variable methods for Markov chain Monte Carlo with applications. Journal of the American Statistical Association 93 (1998) 585-595
9. Hinkley D.V. On the ratio of two correlated normal random variables. Biometrika 56 (1969) 635-639
10. Ogata Y. A Monte Carlo method for high dimensional integration. Numerical Mathematics 55 (1989) 137-157
11. Picchio M., Beck R., Haubner R., Seidl S., Johnson T.D., Wester H., Reischl G., Schwaier M., and Piert M. Intratumoral spatial distribution on hypoxia and angiogenesis assessed by 18f-faza and 125i-gluco-rgd autoradiography. Journal of Nuclear Medicine 49 (2008) 597-605
12. 18F-Fluoroazomycin Arabinoside. Journal of Nuclear Medicine 46 (2005) 106-113
13. Potts R.B. Some generalized order-disorder transformations. Proceedings of the Cambridge Philosophic Society 48 (1952) 106-109
14. Richardson S., and Green P.J. On Bayseian analysis of mixtures with an unknown number of components (with discussion). Journal of Royal Statistical Society. Series B 59 (1997) 731-792
15. Robert C.P. The Bayesian Choice. 2nd ed. (2001), Springer, New York
16. Robert C.P., and Casella G. Monte Carlo Statistical Methods (2005), Springer, New York
17. Swendsen R.H., and Wang J.S. Nonuniversal critical dynamics in Monte Carlo simulations. Physical Review Letters 58 (1987) 86-88