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Bayesian
analysis (Decision theory, Testing, Model
choice, Variable
selection, Noninformative priors)
Computational Statistics (Random generators, Monte
Carlo methods,
MCMC methods, Stochastic optimization)
Latent variable models (Mixtures, Hidden Markov
models, ARCH models,
Stochastic volatility, etc.)
Applied modelling (Genetics, Astronomy, Ecology,
Econometrics, Small
Area Estimation)
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