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- 2022
-
Mark
Scalable and flexible inference framework for stochastic dynamic single-cell models
(
- Contribution to journal › Article
- 2021
-
Mark
Sequential Neural Posterior and Likelihood Approximation
2021)(
- Working paper/Preprint › Preprint in preprint archive
-
Mark
Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms
(
- Contribution to journal › Article
-
Mark
PEPSDI: Scalable and flexible inference framework for stochastic dynamic single-cell models
2021)(
- Working paper/Preprint › Preprint in preprint archive
- 2019
-
Mark
Likelihood-free stochastic approximation EM for inference in complex models
(
- Contribution to journal › Article