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Convergence of MCEM and Related Algorithms for Hidden Markov Random Field
The Monte Carlo EM (MCEM) algorithm is a stochastic version of the EM algorithm using MCMC methods to approximate the conditional distribution of the hidden data. In... -
Tracking Multiple Objects with Particle Filtering
We address the problem of multitarget tracking encountered in many situations in signal or image processing. We consider stochastic dynamic systems detected by... -
Splitting method for spatio-temporal sensors deployment in underwater systems
International audience -
Gibbsian Method for the Self-Optimization of Cellular Networks
International audience -
Self Organization of Interfering 802.11 Wireless Access Networks
The increased popularity of IEEE 802.11 WLANs has led to dense deployments in urban areas. Such high density leads to sub-optimal performance unless the interfering... -
Bayesian estimation in animal breeding using the Dirichlet process prior for ...
International audience -
Gibbs sampling methods for Pitman-Yor mixture models
We introduce a new sampling strategy for the two-parameter Poisson-Dirichlet process mixture model, also known as Pitman-Yor process mixture model (PYM). Our sampler...
