20 citations · 20 across the 3 of their papers we have counts for
3 papers
Online Bayesian Experimental Design for Partially Observed Dynamical Systems
Sara Pérez-Vieites, Sahel Iqbal, Simo Särkkä +1
Bayesian experimental design (BED) provides a principled framework for optimizing data collection by choosing experiments that are maximally informative about unknown parameters. H…
Nested smoothing algorithms for inference and tracking of heterogeneous multi-scale state-space systems
Sara Pérez-Vieites, Harold Molina-Bulla, Joaquin Miguez
Multi-scale problems, where variables of interest evolve in different time-scales and live in different state-spaces, can be found in many fields of science. Here, we introduce a n…
A probabilistic scheme for joint parameter estimation and state prediction in complex dynamical systems
Sara Pérez-Vieites, Inés P. Mariño, Joaquín Míguez
Many problems in the geophysical sciences demand the ability to calibrate the parameters and predict the time evolution of complex dynamical models using sequentially-collected dat…