103 citations · 251 across the 14 of their papers we have counts for
4 papers · 1 filter
On the validity of using the delta method for calculating the uncertainty of the predictions from an overparameterized model
Magnus Malmström, Isaac Skog, Daniel Axehill +1
The uncertainty in the prediction calculated using the delta method for an overparameterized (parametric) black-box model is shown to be larger or equal to the uncertainty in the p…
Tightly Integrated Motion Classification and State Estimation in Foot-Mounted Navigation Systems
Isaac Skog, Gustaf Hendeby, Manon Kok
A framework for tightly integrated motion mode classification and state estimation in motion-constrained inertial navigation systems is presented. The framework uses a jump Markov…
Uncertainty quantification in neural network classifiers -- a local linear approach
Magnus Malmström, Isaac Skog, Daniel Axehill +1
Classifiers based on neural networks (NN) often lack a measure of uncertainty in the predicted class. We propose a method to estimate the probability mass function (PMF) of the dif…
Iterated Filters for Nonlinear Transition Models
Anton Kullberg, Isaac Skog, Gustaf Hendeby
A new class of iterated linearization-based nonlinear filters, dubbed dynamically iterated filters, is presented. Contrary to regular iterated filters such as the iterated extended…