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- 2021
-
Mark
Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms
(
- Contribution to journal › Article
-
Mark
Simulation-based Inference : From Approximate Bayesian Computation and Particle Methods to Neural Density Estimation
(
- Thesis › Doctoral thesis (compilation)
- 2019
-
Mark
Likelihood-free stochastic approximation EM for inference in complex models
(
- Contribution to journal › Article
- 2018
-
Mark
Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models
(
- Contribution to journal › Article
- 2014
-
Mark
Adaptive sequential Monte Carlo by means of mixture of experts
(
- Contribution to journal › Article
- 2008
-
Mark
Adaptive methods for sequential importance sampling with application to state space models
(
- Contribution to journal › Article
- 2007
-
Mark
On Bounds and Asymptotics of Sequential Monte Carlo Methods for Filtering, Smoothing, and Maximum Likelihood Estimation in State Space Models
2007)(
- Thesis › Doctoral thesis (compilation)
-
Mark
On the use of sequential Monte Carlo methods for approximating smoothing functionals, with application to fixed parameter estimation
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding