109 citations · 243 across the 25 of their papers we have counts for
4 papers · 1 filter
A Generalized Unscented Transformation for Probability Distributions
Donald Ebeigbe, Tyrus Berry, Michael M. Norton +4
The unscented transform uses a weighted set of samples called sigma points to propagate the means and covariances of nonlinear transformations of random variables. However, unscent…
A Poisson Kalman filter for disease surveillance
Donald Ebeigbe, Tyrus Berry, Steven J. Schiff +1
An optimal filter for Poisson observations is developed as a variant of the traditional Kalman filter. Poisson distributions are characteristic of infectious diseases, which model…
Correcting biased observation model error in data assimilation
John Harlim, Tyrus Berry
While the formulation of most data assimilation schemes assumes an unbiased observation model error, in real applications, model error with nontrivial biases is unavoidable. A prac…
Semiparametric forecasting and filtering: correcting low-dimensional model error in parametric models
Tyrus Berry, John Harlim
Semiparametric forecasting and filtering are introduced as a method of addressing model errors arising from unresolved physical phenomena. While traditional parametric models are a…