28 citations · 37 across the 3 of their papers we have counts for
3 papers
stat.ME2020★ 28 cited
A hybrid particle-ensemble Kalman filter for problems with medium nonlinearity
Gregor Robinson, Ian Grooms
A hybrid particle ensemble Kalman filter is developed for problems with medium non-Gaussianity, i.e. problems where the prior is very non-Gaussian but the posterior is approximatel…
stat.CO2019★ 2 cited
A fast tunable blurring algorithm for scattered data
Gregor Robinson, Ian Grooms
A blurring algorithm with linear time complexity can reduce the small-scale content of data observed at scattered locations in a spatially extended domain of arbitrary dimension. T…
stat.AP2017★ 7 cited
Improving particle filter performance by smoothing observations
Gregor Robinson, Ian Grooms, William Kleiber
This article shows that increasing the observation variance at small scales can reduce the ensemble size required to avoid collapse in particle filtering of spatially-extended dyna…