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SIAMCO
2008
98views more  SIAMCO 2008»
13 years 6 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
SAC
2012
ACM
12 years 2 months ago
Local bandwidth selectors for deconvolution kernel density estimation
We consider kernel density estimation when the observations are contaminated by measurement errors. It is well known that the success of kernel estimators depends heavily on the c...
Achilleas Achilleos, Aurore Delaigle
WSC
2004
13 years 8 months ago
Dynamic Radiation Dose Visualization in Discrete-Event Nuclear Facility Simulation Models
To improve its process modeling capabilities, Los Alamos has worked toward integrating dose modeling tools with advanced discrete-event simulation tools. To date, dose information...
George Tompkins, Drew E. Kornreich, Robert Y. Park...
WSC
2007
13 years 9 months ago
Kernel estimation for quantile sensitivities
Quantiles, also known as value-at-risk in financial applications, are important measures of random performance. Quantile sensitivities provide information on how changes in the i...
Guangwu Liu, L. Jeff Hong
KES
2006
Springer
13 years 6 months ago
Sensor Network Localization Using Least Squares Kernel Regression
Abstract. This paper considers the sensor network localization problem using signal strength. Unlike range-based methods signal strength information is stored in a kernel matrix. L...
Anthony Kuh, Chaopin Zhu, Danilo P. Mandic