Results 131 to 140 of about 15,255 (305)
A structurally localized ensemble Kalman filtering approach
Quarterly Journal of the Royal Meteorological Society, EarlyView.We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih +1 more
wiley +1 more source
Estimating Non Acceleration Inflation Rate of Unemployment (NAIRU): Using Different Filters in Iran [PDF]
Faslnāmah-i Pizhūhish/Nāmah-i Iqtisādī, 2012 NAIRU plays an important role in guiding monetary policy to control inflation and unemployment. The purpose of this paper is to estimate the so-called “Non- Accelerating Inflation Rate of Unemployment” (NAIRU) in Iran.
Ahmad Jafari Samimi +2 more
doaj
Developments of inverse analysis by Kalman filters and Bayesian methods applied to geotechnical engineering. [PDF]
Proc Jpn Acad Ser B Phys Biol Sci, 2023 Murakami A, Fujisawa K, Shuku T.
europepmc +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.The climatological‐error covariance matrix used in three‐dimensional variational data assimilation (3DVar) provides smooth and isotropic increments spread to long distances. In contrast, three‐dimensional ensemble variational data assimilation (3DEnVar) with a purely ensemble‐error covariance matrix provides inhomogeneous increments and contains the ...
Kaushambi Jyoti +3 more
wiley +1 more source
CHOICE EFFECT OF INPUT ACTION MODELS ON MEASURING ACCURACY FOR EXTENDED KALMAN FILTERS
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 Choice effect of input action models on measuring accuracy for Extended Kalman filters is considered. Recommendations about practical application of Extended Kalman filter modifications are listed.
P. A. Khmarski, A. S. Solonar
doaj
Precise Train Positioning With Unscented Kalman Filter and Low-Cost Sensors
IEEE Open Journal of Intelligent Transportation SystemsThis contribution is embedded into the challenge of track fault localization with low-cost hardware. For precise localization on the track, with an accuracy of a few decimeters for separating overlapping errors, a high resolution trajectory is needed and
R. Frolow, L. Zhang, V. Schwieger
doaj +1 more source
Bayesian Noise Modelling for State Estimation of the Spread of COVID-19 in Saudi Arabia with Extended Kalman Filters. [PDF]
Sensors (Basel), 2023 Alyami L, Panda DK, Das S.
europepmc +1 more source
Particle Filters for Markov Switching Stochastic Volatility Models [PDF]
This paper proposes an auxiliary particle filter algorithm for inference in regime switching stochastic volatility models in which the regime state is governed by a first-order Markov chain.
Boda Kang, Yun Bao, Carl Chiarella
core
Quarterly Journal of the Royal Meteorological Society, EarlyView.We document for the first time how the assimilation of CS2SMOS observations improves the model representation of Arctic sea‐ice thickness (SIT) and its variability: biases are reduced (top row), while excessive variability in the Beaufort Sea and lack of variability in the ice pack are both corrected (bottom row).
Jiping Xie +3 more
wiley +1 more source
2D and 3D Angles-Only Target Tracking Based on Maximum Correntropy Kalman Filters. [PDF]
Sensors (Basel), 2022 Urooj A +3 more
europepmc +1 more source