1 – 10 of 15
- show: 10
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=" "
width=" "
height=" "
allowtransparency="true"
frameborder="0">
</iframe>
- 2020
-
Mark
Resampling algorithms for high energy physics simulations
(
- Contribution to journal › Article
- 2016
-
Mark
Antithetic sampling for sequential Monte Carlo methods with application to state-space models
(
- Contribution to journal › Article
- 2014
-
Mark
Adaptive sequential Monte Carlo by means of mixture of experts
(
- Contribution to journal › Article
- 2011
-
Mark
Particle-based likelihood inference in partially observed diffusion processes using generalised Poisson estimators
(
- Contribution to journal › Article
-
Mark
Rao-Blackwellisation of particle Markov chain Monte Carlo methods using forward filtering backward sampling
(
- Contribution to journal › Article
-
Mark
Sequential Monte Carlo smoothing for general state space hidden Markov models
(
- Contribution to journal › Article
-
Mark
Consistency of the maximum likelihood estimator for general hidden Markov models
(
- Contribution to journal › Article
- 2008
-
Mark
Asymptotic properties of particle filter-based maximum likelihood estimators for state space models
(
- Contribution to journal › Article
-
Mark
Adaptive methods for sequential importance sampling with application to state space models
(
- Contribution to journal › Article
-
Mark
Sequential Monte Carlo smoothing with application to parameter estimation in nonlinear state space models
(
- Contribution to journal › Article