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» On multivariate estimation by thresholding
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CORR
2010
Springer
45views Education» more  CORR 2010»
13 years 7 months ago
Threshold effects in parameter estimation as phase transitions in statistical mechanics
Threshold effects in the estimation of parameters of non
Neri Merhav
CSDA
2010
99views more  CSDA 2010»
13 years 7 months ago
Robust M-estimation of multivariate GARCH models
In empirical work on multivariate financial time series, it is common to postulate a Multivariate GARCH model. We show that the popular Gaussian quasi-maximum likelihood estimator...
Kris Boudt, Christophe Croux
ESANN
2004
13 years 9 months ago
Dimensionality reduction and classification using the distribution mapping exponent
: Probability distribution mapping function, which maps multivariate data distribution to the function of one variable, is introduced. Distributionmapping exponent (DME) is somethi...
Marcel Jirina
ML
2002
ACM
111views Machine Learning» more  ML 2002»
13 years 7 months ago
Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data
Binningandtruncationofdataarecommonindataanalysisandmachinelearning.Thispaperaddresses the problem of fitting mixture densities to multivariate binned and truncated data. The EM ap...
Igor V. Cadez, Padhraic Smyth, Geoffrey J. McLachl...
CSDA
2006
142views more  CSDA 2006»
13 years 7 months ago
A Bayesian approach to bandwidth selection for multivariate kernel density estimation
: Kernel density estimation for multivariate data is an important technique that has a wide range of applications. However, it has received significantly less attention than its un...
Xibin Zhang, Maxwell L. King, Rob J. Hyndman