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» Nonparametric density estimation for positive time series
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CSDA
2010
208views more  CSDA 2010»
13 years 5 months ago
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
Raffaele Argiento, Alessandra Guglielmi, Antonio P...
IJIT
2004
13 years 6 months ago
Corrosion Time Series Classification using the Continuous Wavelet Transform and MML Density Estimation
Corrosion causes many failures in chemical process installations. These failures generate high costs, therefore an effective corrosion monitoring system obtrudes. This paper focuse...
Gert Van Dijck, M. Wevers, Marc M. Van Hulle
ICASSP
2011
IEEE
12 years 9 months ago
Non-parametric bayesian measurement noise density estimation in non-linear filtering
In this study, we investigate online Bayesian estimation of the measurement noise density of a given state space model using particle filters and Dirichlet process mixtures. Diri...
Emre Özkan, Saikat Saha, Fredrik Gustafsson, ...
IJON
2007
118views more  IJON 2007»
13 years 5 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
ICANN
2007
Springer
13 years 7 months ago
GARCH Processes with Non-parametric Innovations for Market Risk Estimation
Abstract. A procedure to estimate the parameters of GARCH processes with non-parametric innovations is proposed. We also design an improved technique to estimate the density of hea...
José Miguel Hernández-Lobato, Daniel...