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Electronic engineering / Robot control / Linear filters / Markov models / Kalman filter / Particle filter / Maximum likelihood / Bayes estimator / Unscented transform / Statistics / Estimation theory / Control theory
Date: 2009-02-25 10:57:00
Electronic engineering
Robot control
Linear filters
Markov models
Kalman filter
Particle filter
Maximum likelihood
Bayes estimator
Unscented transform
Statistics
Estimation theory
Control theory

Forecasting "High" and "Low" of financial time series by Particle systems and Kalman filters S. DABLEMONT, S. VAN BELLEGEM, M. VERLEYSEN Université catholique de Louvain, Machine Learning Group, DICE 3, Place du Levant,

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