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IJON
2007
118views more  IJON 2007»
13 years 8 months ago
CATS benchmark time series prediction by Kalman smoother with cross-validated noise density
This article presents the winning solution to the CATS time series prediction competition. The solution is based on classical optimal linear estimation theory. The proposed method...
Simo Särkkä, Aki Vehtari, Jouko Lampinen
ICMLA
2008
13 years 10 months ago
A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
Silvia Chiappa
ICASSP
2011
IEEE
13 years 9 days ago
Sparse graphical modeling of piecewise-stationary time series
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...
Daniele Angelosante, Georgios B. Giannakis
APIN
2008
305views more  APIN 2008»
13 years 8 months ago
A generalized model for financial time series representation and prediction
Abstract Traditional financial analysis systems utilize lowlevel price data as their analytical basis. For example, a decision-making system for stock predictions regards raw price...
Depei Bao