Contributions to High Dimensional Nonlinear Data Assimilation_SMC2022

Convergence Properties for Optimised Adaptive Importance Samplers_SMC2022

Fast Parallel Resampling as a Stepping Stone to Ubiquitous Sequential Monte Carlo_SMC2022

Gaussian processes for inference of deep state-space models_SMC2022

Joint online parameter estimationand sensor placement for continuous time state space models_SMC2022

Monotonic Alpha-divergence Minimisation for Variational Inference_SMC2022

Waste-free Sequential Monte Carlos_SMC2022

A theoretical analysis of one-dimensional discrete generation ensemble Kalman particle filters_SMC2022

Augmented physics-based models in state estimation_SMC2022

Parameter elimination in particle Gibbs sampling_SMC2022

Particle filters with nudging. Applications to Data Assimilation_SMC2022

Rao-blackwellized Particle Smoothing for Simultaneous Localization and Mapping_SMC2022

Bias free particle filtering for a continuous time hidden Markov model with a cox process observation model_SMC2022

Comparison of Markov chains via weak Poincaré inequalities with applications_SMC2022

Data Assimilation for a Stochastic Rotating Shallow Water Model_SMC2022

On the behavior of particle filter resampling algorithms with weakly informative potentials_SMC2022