- The linear functional model and its interpretability.
- Bayesian segmentation of series with a functional effect.
- Variable selection for high-dimensional data, with a Bayesian approach.
- Approximate Bayesian Computation (ABC) or Likelihhod-Free methods, in particular for the estimation of parameters of complex models.
- MCMC algorithms: population-based MCMC algorithms, equi-energy sampler of Kou et al. (2006), Reversible Jump (RJMCMC).
Last update 2020-01-09.