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Model error covariance estimation in particle and ensemble Kalman
  filters using an online expectation-maximization algorithm

Model error covariance estimation in particle and ensemble Kalman filters using an online expectation-maximization algorithm

4 March 2020
T. Cocucci
M. Pulido
M. Lucini
P. Tandeo
ArXivPDFHTML

Papers citing "Model error covariance estimation in particle and ensemble Kalman filters using an online expectation-maximization algorithm"

5 / 5 papers shown
Title
Model uncertainty estimation using the expectation maximization
  algorithm and a particle flow filter
Model uncertainty estimation using the expectation maximization algorithm and a particle flow filter
M. M. Lucini
P. Leeuwen
M. Pulido
48
4
0
04 Nov 2019
Inference of stochastic parameterizations for model error treatment
  using nested ensemble Kalman filters
Inference of stochastic parameterizations for model error treatment using nested ensemble Kalman filters
Guillermo Scheffler
J. J. Ruiz
M. Pulido
40
12
0
27 Jul 2018
Kernel embedding of maps for sequential Bayesian inference: The
  variational mapping particle filter
Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filter
M. Pulido
P. Leeuwen
BDL
56
11
0
29 May 2018
A Bayesian adaptive ensemble Kalman filter for sequential state and
  parameter estimation
A Bayesian adaptive ensemble Kalman filter for sequential state and parameter estimation
Jonathan R. Stroud
Matthias Katzfuss
C. Wikle
59
55
0
11 Nov 2016
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
150
6,624
0
22 Dec 2012
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