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2019
Mark Likelihood-free stochastic approximation EM for inference in complex models
Picchini, Umberto ^LU (2019) In Communications in Statistics: Simulation and Computation 48(3). p.861-881
- Contribution to journal › Article
Mark Bayesian inference for stochastic differential equation mixed effects models of a tumour xenography study
Picchini, Umberto ^LU and Forman, Julie Lyng (2019) In Journal of the Royal Statistical Society. Series C: Applied Statistics 68(4). p.887-913
- Contribution to journal › Article
Mark Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation
Wiqvist, Samuel ^LU ; Mattei, Pierre-Alexandre ; Picchini, Umberto and Frellsen, Jes (2019)
- Working paper/Preprint › Working paper
2018
Mark Accelerating delayed-acceptance Markov chain Monte Carlo algorithms
Wiqvist, Samuel ^LU ; Picchini, Umberto ^LU and Forman, Julie Lyng (2018)
- Working paper/Preprint › Working paper
Mark Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models
Picchini, Umberto ^LU and Samson, Adeline (2018) In Computational Statistics 33(1). p.179-212
- Contribution to journal › Article
2017
Mark Approximate maximum likelihood estimation using data-cloning ABC
Picchini, Umberto ^LU and Anderson, Rachele ^LU (2017) In Computational Statistics & Data Analysis 105. p.166-183
- Contribution to journal › Article
2016
Mark Accelerating inference for diffusions observed with measurement error and large sample sizes using approximate Bayesian computation
Picchini, Umberto ^LU and Forman, Julie Lyng (2016) In Journal of Statistical Computation and Simulation 86(1). p.195-213
- Contribution to journal › Article

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