128 citations · 132 across the 3 of their papers we have counts for
4 papers
Wavelet Ensemble Kalman Filters
Jonathan D. Beezley, Jan Mandel, Loren Cobb
We present a new type of the EnKF for data assimilation in spatial models that uses diagonal approximation of the state covariance in the wavelet space to achieve adaptive localiza…
Bayesian Tracking of Emerging Epidemics Using Ensemble Optimal Statistical Interpolation (EnOSI)
Ashok Krishnamurthy, Loren Cobb, Jan Mandel +1
We explore the use of the optimal statistical interpolation (OSI) data assimilation method for the statistical tracking of emerging epidemics and to study the spatial dynamics of a…
Data Driven Computing by the Morphing Fast Fourier Transform Ensemble Kalman Filter in Epidemic Spread Simulations
Jan Mandel, Jonathan D. Beezley, Loren Cobb +1
The FFT EnKF data assimilation method is proposed and applied to a stochastic cell simulation of an epidemic, based on the S-I-R spread model. The FFT EnKF combines spatial statist…
On the Convergence of the Ensemble Kalman Filter
Jan Mandel, Loren Cobb, Jonathan D. Beezley
Convergence of the ensemble Kalman filter in the limit for large ensembles to the Kalman filter is proved. In each step of the filter, convergence of the ensemble sample covariance…