4 citations · 7 across the 2 of their papers we have counts for
2 papers
stat.ME2022★ 4 cited
Ensemble transport smoothing. Part II: Nonlinear updates
Maximilian Ramgraber, Ricardo Baptista, Dennis McLaughlin +1
Smoothing is a specialized form of Bayesian inference for state-space models that characterizes the posterior distribution of a collection of states given an associated sequence of…
stat.ME2022★ 3 cited
Ensemble transport smoothing. Part I: Unified framework
Maximilian Ramgraber, Ricardo Baptista, Dennis McLaughlin +1
Smoothers are algorithms for Bayesian time series re-analysis. Most operational smoothers rely either on affine Kalman-type transformations or on sequential importance sampling. Th…