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| Getting Started with Particle Metropolis-Hastings for Inference in Nonlinear Dynamical Models | Nov 5, 2015 | State Space Models | CodeCode Available | 0 |
| Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods | Jun 23, 2015 | Bayesian OptimisationState Space Models | CodeCode Available | 0 |
| Computationally Efficient Bayesian Learning of Gaussian Process State Space Models | Jun 7, 2015 | Gaussian ProcessesState Space Models | —Unverified | 0 |
| Sequential Monte Carlo Methods for System Identification | Mar 20, 2015 | State EstimationState Space Models | —Unverified | 0 |
| Quasi-Newton particle Metropolis-Hastings | Feb 12, 2015 | State Space Models | CodeCode Available | 0 |
| Newton-based maximum likelihood estimation in nonlinear state space models | Feb 12, 2015 | parameter estimationState Space Models | CodeCode Available | 0 |
| Sublinear-Time Approximate MCMC Transitions for Probabilistic Programs | Nov 6, 2014 | parameter estimationProbabilistic Programming | —Unverified | 0 |
| Identification of jump Markov linear models using particle filters | Sep 25, 2014 | State Space Models | —Unverified | 0 |
| Variational Gaussian Process State-Space Models | Jun 18, 2014 | Gaussian ProcessesState Space Models | —Unverified | 0 |