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SIAMCO
2008
98views more  SIAMCO 2008»
13 years 10 months ago
Kernel Density Estimation and Goodness-of-Fit Test in Adaptive Tracking
We investigate the asymptotic properties of a recursive kernel density estimator associated with the driven noise of a linear regression in adaptive tracking. We provide an almost ...
Bernard Bercu, Bruno Portier
PG
2007
IEEE
14 years 4 months ago
Lighting Details Preserving Photon Density Estimation
Standard density estimation approaches suffer from visible bias due to low-pass filtering of the lighting function. Therefore, most photon density estimation methods have been us...
Robert Herzog, Hans-Peter Seidel
ICPR
2004
IEEE
14 years 11 months ago
Rapid Spline-based Kernel Density Estimation for Bayesian Networks
The likelihood for patterns of continuous attributes for the naive Bayesian classifier (NBC) may be approximated by kernel density estimation (KDE), letting every pattern influenc...
Boaz Lerner, Yaniv Gurwicz
SDM
2009
SIAM
343views Data Mining» more  SDM 2009»
14 years 7 months ago
Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation.
Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
Masashi Sugiyama, Yoshinobu Kawahara
MA
2010
Springer
122views Communications» more  MA 2010»
13 years 8 months ago
Thresholding methods to estimate copula density
Abstract: This paper deals with the problem of multivariate copula density estimation. Using wavelet methods we provide two shrinkage procedures based on thresholding rules for whi...
F. Autin, E. Le Pennec, K. Tribouley