Poultry, pig and the risk of BSE following the feed ban in France ??? A spatial analysis, Veterinary Research, vol.36, issue.4, pp.615-628, 2005. ,
DOI : 10.1051/vetres:2005020
URL : https://hal.archives-ouvertes.fr/hal-00902988
Zero-inflated models with application to spatial count data, Environmental and Ecological Statistics, vol.162, issue.2, pp.195-209, 2002. ,
Finite Mixture Models for Mapping Spatially Dependent Disease Counts, Biometrical Journal, vol.14, issue.6, pp.84-97, 2009. ,
DOI : 10.1002/bimj.200810494
Spatial analysis of bovine spongiform encephalopathy in Galicia, Preventive Veterinary Medicine, vol.79, pp.2-4174, 2002. ,
On the superiority of the bayesian method over the blup in small area estimation problems, Statistica Sinica, vol.7, pp.1053-63, 1997. ,
Visualization and exploratory analysis of epidemiologic data using a novel space time information system, International Journal of Health Geographics, vol.3, issue.26 1, 2004. ,
On the development of the reference prior method, Bayesian statistics 4, pp.35-60, 1992. ,
Bayesian analysis of space???time variation in disease risk, Statistics in Medicine, vol.43, issue.21-22, pp.2433-2476, 1995. ,
DOI : 10.1002/sim.4780142112
Spatial interaction and the statistical analysis of lattice systems, Journal of the Royal Statistical Society, vol.35, issue.54, pp.192-236, 1974. ,
Statistical analysis of non-lattice data. The Statistician, pp.179-95, 1975. ,
Statistical analysis of dirty pictures*, Journal of Applied Statistics, vol.6, issue.5-6, pp.259-302, 1986. ,
DOI : 10.1016/0031-3203(83)90012-2
Likelihood analysis of binary data in space and time, p.143, 2003. ,
Bayesian image restoration, with two applications in spatial statistics, Annals of the Institute of Statistical Mathematics, vol.74, issue.1, pp.1-59, 1991. ,
DOI : 10.1007/BF00116466
A comparison of Bayesian spatial models for disease mapping, Statistical Methods in Medical Research, vol.14, issue.1, pp.35-59, 2005. ,
DOI : 10.1191/0962280205sm388oa
Bayesian model for spatially correlated disease and exposure data, Bayesian Statistics, pp.131-56, 1999. ,
Initializing EM using the properties of its trajectories in Gaussian mixtures, Statistics and Computing, vol.14, issue.3, pp.267-279, 2004. ,
DOI : 10.1023/B:STCO.0000035306.77434.31
Assessing a mixture model for clustering with the integrated completed likelihood, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.7, pp.719-725, 2000. ,
DOI : 10.1109/34.865189
Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models, Computational Statistics & Data Analysis, vol.41, issue.3-4, pp.561-575, 2003. ,
DOI : 10.1016/S0167-9473(02)00163-9
The choice of test for detecting raised disease risk near a point source, Statistics in Medicine, vol.14, issue.21-22, pp.21-222309, 1995. ,
DOI : 10.1002/sim.4780142104
On statistical methods for analysing the geographical distribution of cancer cases near nuclear installations., Journal of Epidemiology & Community Health, vol.43, issue.1, pp.79-85, 1989. ,
DOI : 10.1136/jech.43.1.79
Distribution of childhood leukaemias and non-Hodgkin's lymphomas near nuclear installations in England and Wales, BMJ, vol.309, issue.6953, pp.501-506, 1994. ,
DOI : 10.1136/bmj.309.6953.501
Modèles markoviens et extensions pour la classification de données complexes, p.146, 2007. ,
Le logiciel SpaCEM 3 pour la classification de données complexes. La revue Modulad, pp.147-66, 2009. ,
The zero-inflated Poisson model and the decayed, missing and filled teeth index in dental epidemiology, Journal of the Royal Statistical Society: Series A (Statistics in Society), vol.162, issue.2, pp.195-209, 1999. ,
DOI : 10.1111/1467-985X.00130
Space-time mixture modelling of public health data, Statistics in Medicine, vol.40, issue.17-18, pp.2333-2377, 2000. ,
DOI : 10.1002/1097-0258(20000915/30)19:17/18<2333::AID-SIM573>3.0.CO;2-Q
-fold cross-validation and the repeated learning-testing methods, Biometrika, vol.76, issue.3, pp.503-517, 1989. ,
DOI : 10.1093/biomet/76.3.503
URL : https://hal.archives-ouvertes.fr/hal-00819948
Covariates and time in the autologistic model, p.43, 2006. ,
Elements of hierarchical bayesian inference, Hierarchical modelling for the environmental sciences : statistical methods and applications, pp.3-24, 2006. ,
The SEM algorithm : a probabilistic teacher algorithm derived from the mixture problem, Computational Statistics Quaterly, vol.2, issue.1, pp.73-82, 1985. ,
A classification EM algorithm for clustering and two stochastic versions, Computational Statistics & Data Analysis, vol.14, issue.3, pp.315-347, 1992. ,
DOI : 10.1016/0167-9473(92)90042-E
URL : https://hal.archives-ouvertes.fr/inria-00075196
EM procedures using mean field-like approximations for Markov model-based image segmentation, Pattern Recognition, vol.36, issue.1, pp.131-144, 2003. ,
DOI : 10.1016/S0031-3203(02)00027-4
URL : https://hal.archives-ouvertes.fr/inria-00072526
An iterative Gibbsian technique for reconstruction of m-ary images, Pattern Recognition, vol.22, issue.6, pp.747-761, 1989. ,
DOI : 10.1016/0031-3203(89)90011-3
Bayesian methods for mapping disease risk. Geographical and Environment Epidemiology : Methods for Small Area Studies, pp.205-220, 1992. ,
Empirical Bayes Estimates of Age-Standardized Relative Risks for Use in Disease Mapping, Biometrics, vol.43, issue.3, pp.671-681, 1987. ,
DOI : 10.2307/2532003
Statistics for Spatial Data New York : Wiley, 1993. 40, 41 L. Cucala. A flexible spatial scan test for case event data, Computational Statistics and Data Analysis, issue.8, pp.532843-50, 2009. ,
Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society Series B, vol.39, issue.1, pp.1-38, 1977. ,
Measures of the Amount of Ecologic Association Between Species, Ecology, vol.26, issue.3, pp.297-302, 1945. ,
DOI : 10.2307/1932409
Model-based geostatistics, Journal of the Royal Statistical Society: Series C (Applied Statistics), vol.47, issue.3, pp.299-350, 1998. ,
DOI : 10.1111/1467-9876.00113
Modèles statistiques pour la structure génétique des populations : organisation spatiale et liens de parenté, p.46, 2009. ,
Modèles à structure cachée : inférence, sélection de modèles et applications, p.72, 2003. ,
Spatial epidemiology: methods and applications, p.15, 2000. ,
DOI : 10.1093/acprof:oso/9780198515326.003.0001
Climate and health, Science, vol.285, issue.5426 1, 1999. ,
On random graphs, Publicationes Mathematicae, vol.6, pp.290-97, 1959. ,
Modelling spatially correlated data via mixtures: a Bayesian approach, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.92, issue.4, pp.805-826, 2002. ,
DOI : 10.1111/1467-9868.00288
Partition Modelling, p.45, 2002. ,
DOI : 10.1201/9781420035414.pt2
Probabilistic Measures of Adequacy of a Numerical Search for a Global Maximum, Journal of the American Statistical Association, vol.44, issue.408, pp.1-38, 1989. ,
DOI : 10.1080/01621459.1989.10478867
Hidden markov random field model selection criteria based on mean field-like approximations, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.9, pp.1089-1101, 2003. ,
DOI : 10.1109/TPAMI.2003.1227985
How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis, The Computer Journal, vol.41, issue.8, pp.578-88, 1998. ,
DOI : 10.1093/comjnl/41.8.578
Generalized additive models for cancer mapping with incomplete covariates, Biostatistics, vol.5, issue.2, pp.177-91, 2004. ,
DOI : 10.1093/biostatistics/5.2.177
Une approche ??coanthropologique de la sant?? publique, Nature Sciences Soci??t??s, vol.5, issue.4, pp.5-11, 1997. ,
DOI : 10.1016/S1240-1307(97)87680-7
Bayesian data analysis, second edition, p.34, 2003. ,
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images, IEEE Transaction on Pattern analysis and Machine Intelligence, vol.6, issue.50, pp.721-741, 1984. ,
Markov random fiels image models and their applications to computer vision, International Congress of Mathematicians, pp.1496-1517, 1987. ,
Generalized Linear Models for Small-Area Estimation, Journal of the American Statistical Association, vol.86, issue.441, pp.273-82, 1998. ,
DOI : 10.1080/01621459.1998.10474108
Hierarchical Bayes GLMs for the analysis of spatial data: An application to disease mapping, Journal of Statistical Planning and Inference, vol.75, issue.2, pp.305-318, 1999. ,
DOI : 10.1016/S0378-3758(98)00150-5
Bayesian analysis of zero-inflated regression models, Journal of Statistical Planning and Inference, vol.136, issue.4, pp.1360-75, 2006. ,
DOI : 10.1016/j.jspi.2004.10.008
Modelling complexity : Applications of gibbs sampling in medicine, Journal of the Royal Statistical Society Series B, vol.55, pp.39-52, 1993. ,
Markov chain Monte Carlo in Practice, p.29, 1996. ,
Reversible jump Markov chain Monte Carlo computation and Bayesian model determination, Biometrika, vol.82, issue.4, pp.711-743, 1995. ,
DOI : 10.1093/biomet/82.4.711
Hidden Markov Models and Disease Mapping, Journal of the American Statistical Association, vol.97, issue.460, pp.1055-70, 2002. ,
DOI : 10.1198/016214502388618870
Autologistic Model of Spatial Pattern of Phytophthora Epidemic in Bell Pepper: Effects of Soil Variables on Disease Presence, Journal of Agricultural, Biological, and Environmental Statistics, vol.2, issue.2, pp.131-56, 1997. ,
DOI : 10.2307/1400400
Monte Carlo sampling methods using Markov chains and their applications, Biometrika, vol.57, issue.1, pp.97-109, 1970. ,
DOI : 10.1093/biomet/57.1.97
Assessing health impact of environmental pollution sources using space-time models, Statistics in Medicine, vol.43, issue.17-18, pp.2569-78, 2000. ,
DOI : 10.1002/1097-0258(20000915/30)19:17/18<2569::AID-SIM588>3.0.CO;2-K
Modeling Spatial Variation in Leukemia Survival Data, Journal of the American Statistical Association, vol.97, issue.460, pp.965-72, 2002. ,
DOI : 10.1198/016214502388618753
An Improved Model for Spatially Correlated Binary Responses, Journal of Agricultural, Biological, and Environmental Statistics, vol.5, issue.1, pp.102-116, 2000. ,
DOI : 10.2307/1400634
Evaluating spatial methods for investigationg global clustering and cluster detection of cancer cases, pp.5111-5153, 2008. ,
Beitrag zur theorie des ferromagnetismus. Zeitschrift fur Physik, pp.253-58, 1925. ,
Physique statistique des phénomènes collectifs en sciences économiques et sociales, Mathématiques et sciences humaines, vol.172, pp.67-89, 2005. ,
Choosing initial values for the EM algorithm for finite mixtures, Computational Statistics & Data Analysis, vol.41, issue.3-4, pp.577-590, 2003. ,
DOI : 10.1016/S0167-9473(02)00177-9
Local Likelihood Estimation in Generalized Additive Models, Scandinavian Journal of Statistics, vol.14, issue.2, pp.317-354, 2003. ,
DOI : 10.1214/aos/1034276626
Modeling Spatial Variation in Disease Risk, Journal of the American Statistical Association, vol.97, issue.459, pp.692-701, 2002. ,
DOI : 10.1198/016214502388618438
Bayesian Detection of Clusters and Discontinuities in Disease Maps, Biometrics, vol.92, issue.20, pp.13-21, 2000. ,
DOI : 10.1111/j.0006-341X.2000.00013.x
On Information and Sufficiency, The Annals of Mathematical Statistics, vol.22, issue.1, pp.79-86, 1951. ,
DOI : 10.1214/aoms/1177729694
A spatial scan statistic Communication in Statistics-Theory and Methods, pp.1481-96, 1996. ,
Tests of Spatial Randomness Adjusted for an Inhomogeneity, Journal of the American Statistical Association, vol.101, issue.475, pp.1289-305, 2006. ,
DOI : 10.1198/016214506000000618
Spatial disease clusters: Detection and inference, Statistics in Medicine, vol.132, issue.8, pp.799-810, 1995. ,
DOI : 10.1002/sim.4780140809
Intrinsic autoregressions and related models on the two-dimensional lattice, Biometrika, vol.74, issue.3, pp.517-541, 1987. ,
DOI : 10.1093/biomet/74.3.517
Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing, Technometrics, vol.34, issue.1, pp.1-14, 1992. ,
DOI : 10.2307/1269547
Regionalization: Theory and Alternative Algorithms, Geographical Analysis, vol.58, issue.2, pp.196-212, 1969. ,
DOI : 10.1111/j.1538-4632.1969.tb00615.x
Independence properties of directed markov fields. Networks, pp.491-505, 1990. ,
An Introductory Guide to Disease Mapping, p.36, 2001. ,
DOI : 10.1002/0470842571
Markov random field modeling in image analysis, p.67, 2001. ,
DOI : 10.1007/978-4-431-67044-5
Composite likelihood methods, Contemporary Mathematics, vol.80, pp.221-238, 1988. ,
DOI : 10.1090/conm/080/999014
Spline smoothing in Bayesian disease mapping, Environmetrics, vol.21, issue.18, pp.727-771, 2007. ,
DOI : 10.1002/env.876
Some methods for classification and analysis of multivariate observations, 5th Berkeley Symposium on Mathematical Statistics and Probability, 0101. ,
Bayesian Core : A Practical Approach to computational Bayesian Statistics, p.38, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-00450489
Finite Mixture Models, p.86, 2000. ,
DOI : 10.1002/0471721182
Human Culture, Ecological Change, and Infectious Disease:. Are We Experiencing History's Fourth Great Transition?, Ecosystem Health, vol.311, issue.2, pp.107-122, 2001. ,
DOI : 10.1016/S0169-5347(98)01449-9
Equation of State Calculations by Fast Computing Machines, The Journal of Chemical Physics, vol.21, issue.6, pp.1087-92, 1953. ,
DOI : 10.1063/1.1699114
Assessment of disease risk in relation to a pre-specified source, Spatial epidemiology : methods and applications, pp.153-84, 2000. ,
DOI : 10.1093/acprof:oso/9780198515326.003.0009
Pairwise likelihood methods for inference in image models, Biometrika, vol.86, issue.3, pp.661-76, 1999. ,
DOI : 10.1093/biomet/86.3.661
Bovine Spongiform Encephalopathy and Spatial Analysis of the Feed Industry, Emerging Infectious Diseases, vol.13, issue.6, pp.867-872, 2007. ,
DOI : 10.3201/eid1306.061169
URL : https://hal.archives-ouvertes.fr/hal-00378799
Approximations de type champ moyen des modèles de champ de Markov pour la segmentation de données spatiales, p.70, 2001. ,
Champs de markov cachés et estimation conditionnelle itérative, Traitement du Signal, vol.11, pp.141-153, 1994. ,
Estimation of Parameters in Hidden Markov Models, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.337, issue.1647, pp.407-428, 1991. ,
DOI : 10.1098/rsta.1991.0132
Monte Carlo statistical methods, p.58, 1999. ,
LOCUS: LOcal Cooperative Unified Segmentation of MRI Brain Scans, 10th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI07), p.56, 2007. ,
DOI : 10.1007/978-3-540-75757-3_27
URL : https://hal.archives-ouvertes.fr/inserm-00402276
Mixture models and disease mapping, Statistics in Medicine, vol.12, issue.19-20, pp.1943-50, 1993. ,
DOI : 10.1002/sim.4780121918
Estimating the Dimension of a Model, The Annals of Statistics, vol.6, issue.2, pp.131-165, 1978. ,
DOI : 10.1214/aos/1176344136
Bayesian measures of model complexity and fit, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.93, issue.4, pp.583-640, 2002. ,
DOI : 10.1002/1097-0258(20000915/30)19:17/18<2265::AID-SIM568>3.0.CO;2-6
Hepatitis b : a case study in MCMC methods, Markov chain Monte Carlo in Practice, p.27, 1996. ,
Area-level risks for BSE in British cattle before and after the July 1988 meat and bone meal feed ban, Preventive Veterinary Medicine, vol.69, issue.1-2, p.34, 2005. ,
DOI : 10.1016/j.prevetmed.2005.01.016
Clustering on coloured lattices, Journal of Applied Probability, vol.1, issue.01, pp.135-178, 1977. ,
DOI : 10.2307/3212721
Posterior distribution of hierarchical models using CAR(1) distributions, Biometrika, vol.86, issue.2, pp.341-50, 1999. ,
DOI : 10.1093/biomet/86.2.341
Spatio-temporal interaction with disease mapping, Statistics in Medicine, vol.90, issue.15, pp.2015-2050, 2000. ,
DOI : 10.1002/1097-0258(20000815)19:15<2015::AID-SIM422>3.0.CO;2-E
A class of tests for detecting ???general??? and ???focused??? clustering of rare diseases, Statistics in Medicine, vol.14, issue.21-22, pp.21-222323, 1995. ,
DOI : 10.1002/sim.4780142105
A flexibly shaped spatial scan statistic for detecting clusters, International Journal of Health Geographics, vol.4, issue.11, p.16, 2005. ,
Local Likelihood Estimation, Journal of the American Statistical Association, vol.4, issue.3, pp.559-568, 1987. ,
DOI : 10.1080/01621459.1987.10478466
The relative neighbourhood graph of a finite planar set, Pattern Recognition, vol.12, issue.4, pp.261-68, 1980. ,
DOI : 10.1016/0031-3203(80)90066-7
Pairwise likelihood inference in spatial generalized linear mixed models, Computational Statistics & Data Analysis, vol.49, issue.4, pp.1173-91, 2005. ,
DOI : 10.1016/j.csda.2004.07.021
Disease mapping and spatial regression with count data, Biostatistics, vol.8, issue.2, pp.158-83, 2007. ,
DOI : 10.1093/biostatistics/kxl008
Clustering, cluster detection, and spatial variation in risk, Spatial epidemiology : methods and applications, pp.128-52, 2000. ,
DOI : 10.1093/acprof:oso/9780198515326.003.0008
Applied spatial statistics for public health data, p.41, 2004. ,
DOI : 10.1002/0471662682
Hierarchical Spatio-Temporal Mapping of Disease Rates, Journal of the American Statistical Association, vol.26, issue.438, pp.607-624, 1997. ,
DOI : 10.1080/01621459.1997.10474012
Application of remote sensing to arthropod vector surveillance and control, American Journal of Tropical Medicine and Hygiene, vol.50, issue.6 1, pp.134-178, 1994. ,
A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms, Journal of the American Statistical Association, vol.51, issue.411, pp.699-704, 1990. ,
DOI : 10.1214/aos/1176346060
Spatial Modelling of Count Data, Spatial Cluster Modelling, p.41, 2002. ,
DOI : 10.1201/9781420035414.ch11
Poisson/gamma random field models for spatial statistics, Biometrika, vol.85, issue.2, pp.251-67, 1998. ,
DOI : 10.1093/biomet/85.2.251
On the Convergence Properties of the EM Algorithm, The Annals of Statistics, vol.11, issue.1, pp.95-103, 1983. ,
DOI : 10.1214/aos/1176346060
Cluster expansions for the deterministic computation of bayesian estimators based on markov random fields, IEEE transactions On Pattern Analysis and Machine Intelligence, vol.17, issue.3, pp.275-93, 1995. ,
Modeling the distribution of plant species using the autologistic regression model, Environmental and Ecological Statistics, vol.4, pp.49-64, 1997. ,
Spatio-temporal models with errors in covariates: mapping Ohio lung cancer mortality, Statistics in Medicine, vol.17, issue.18, pp.2025-2068, 1998. ,
DOI : 10.1002/(SICI)1097-0258(19980930)17:18<2025::AID-SIM865>3.0.CO;2-M
Estimation and annealing for gibbsian fields Annales de l'Institut Henri Poincaré, Probabilités et Statistique, pp.269-94, 1988. ,
The mean field theory in EM procedures for Markov random fields, IEEE Transactions on Signal Processing, vol.40, issue.10, pp.2570-2583, 1992. ,
DOI : 10.1109/78.157297
The mean field theory in EM procedures for Markov random fields, IEEE Transactions on Signal Processing, vol.40, issue.10, pp.2570-2583, 1992. ,
DOI : 10.1109/78.157297
Model Selection Via Multifold Cross Validation, The Annals of Statistics, vol.21, issue.1, pp.299-313, 1993. ,
DOI : 10.1214/aos/1176349027
A Bayesian semi-parametric model for colorectal cancer incidences, Statistics in Medicine, vol.92, issue.2, pp.285-309, 2006. ,
DOI : 10.1002/sim.2221