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Asymptotic properties of the sample distribution under informative selection
Consider informative selection of a sample from a finite population. Responses are realized as iid random variables with a probability density function (pdf) f,... -
EM Procedures Using Mean Field-Like Approximations for Markov Model-Based Ima...
This paper deals with Markov random field model-based image segmentation. This involves parameter estimation in hidden Markov models for which one of the most widely... -
Estimation of Parametric Models with Conditional Heteroscedastic Errors
We consider a model with conditional heteroscedastic errors. The model requires only the form of conditional mean and conditional variance functions to be specified.... -
Bayesian Morphology: Fast Unsupervised Bayesian Image Analysis
We consider the problems of image segmentation and classification, and image restoration when the true image is made up of a small number of (unordered) colors. Our... -
Maximum pseudo-likelihood estimator for stationary marked Gibbs point processes
International audience -
Estimation in the partially observed stochastic Morris-Lecar neuronal model w...
International audience
