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On the spatial correlation between areas of high coseismic slip and aftershock clusters of the Maule earthquake Mw=8.8
Nonparametric clustering Kernel density estimation Maule 2010 Earthquake aftershock distribution slip model.
2012/9/17
We study the spatial distribution of clusters associated to the aftershocks of the megathrust Maule earthquakeMW8.8 of 27 February 2010. We used a recent clustering method which hinges on a nonparamet...
On the spatial correlation between areas of high coseismic slip and aftershock clusters of the Maule earthquake Mw=8.8
Nonparametric clustering Kernel density estimation Maule 2010 Earthquake aftershock distribution slip model.
2012/9/17
We study the spatial distribution of clusters associated to the aftershocks of the megathrust Maule earthquakeMW8.8 of 27 February 2010. We used a recent clustering method which hinges on a nonparamet...
Fast Planar Correlation Clustering for Image Segmentation
Fast Planar Correlation Clustering Image Segmentation
2012/9/18
We describe a new optimization scheme for nding high-quality clusterings in planar graphs that uses weighted perfect matching as a subroutine. Our method provides lower-bounds on the energy of the op...
A higher order correlation unscented Kalman filter
Sequential Parameter Estimation Nonlinear Systems Unscented Kalman Filter Continuous-discrete State Space Estimation of Uncorrelated States Volatility Estimation
2012/9/19
Many nonlinear extensions of the Kalman filter, e.g., the extended and the unscented Kalman filter, reduce the state densities to Gaussian densities. This approximation gives sufficient results in man...
Large Scale Correlation Screening
High dimensional inference Variable selection Phase transition Poisson limit Renyi entropy Thresholding Sparsity False discovery
2011/3/18
This paper treats the problem of screening for variables with high correlations in high dimensional data in which there can be many fewer samples than variables. We focus on threshold-based correlatio...
LASSO, Iterative Feature Selection and the Correlation Selector: Oracle inequalities and numerical performances
Regression estimation statistical learning confidence regions shrinkage and thresholding methods LASSO
2009/9/16
We propose a general family of algorithms for regression estimation with quadratic loss, on the basis of geometrical considerations. These algorithms are able to select relevant functions into a large...