4 citations · 7 across the 5 of their papers we have counts for
5 papers
Bounding the Null Space: Interval-Based Uncertainty Quantification for Non-Identifiable Groundwater Models
Maximilian Ramgraber, Ksenia Bestuzheva
Groundwater models are routinely non-identifiable: sparse subsurface observations leave many combinations of parameters, states, and boundary conditions equally consistent with the…
Adaptive Nonlinear Data Assimilation through P-Spline Triangular Measure Transport
Berent Å. S. Lunde, Maximilian Ramgraber
Non-Gaussian statistics are a challenge for data assimilation. Linear methods oversimplify the problem, yet fully nonlinear methods are often too expensive to use in practice. The…
A friendly introduction to triangular transport
Maximilian Ramgraber, Daniel Sharp, Mathieu Le Provost +1
Decision making under uncertainty is a cross-cutting challenge in science and engineering. Most approaches to this challenge employ probabilistic representations of uncertainty. In…
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…
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…