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» Robustness of Model-Based Simulations
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154
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ACCV
2009
Springer
15 years 3 months ago
Adaptive-Scale Robust Estimator Using Distribution Model Fitting
We propose a new robust estimator for parameter estimation in highly noisy data with multiple structures and without prior information on the noise scale of inliers. This is a diag...
Trung Ngo Thanh, Hajime Nagahara, Ryusuke Sagawa, ...
119
Voted
EOR
2008
70views more  EOR 2008»
15 years 2 months ago
Robust portfolio selection based on a multi-stage scenario tree
The aim of this paper is to apply the concept of robust optimization introduced by Bel-Tal and Nemirovski to the portfolio selection problems based on multi-stage scenario trees. ...
Ruijun Shen, Shuzhong Zhang
153
Voted
BMCBI
2006
187views more  BMCBI 2006»
15 years 2 months ago
Detecting outliers when fitting data with nonlinear regression - a new method based on robust nonlinear regression and the false
Background: Nonlinear regression, like linear regression, assumes that the scatter of data around the ideal curve follows a Gaussian or normal distribution. This assumption leads ...
Harvey J. Motulsky, Ronald E. Brown
228
Voted
EAAI
2007
199views more  EAAI 2007»
15 years 2 months ago
Nonlinear system modeling and robust predictive control based on RBF-ARX model
An integrated modeling and robust model predictive control (MPC) approach is proposed for a class of nonlinear systems with unknown steady state. First, the nonlinear system is id...
Hui Peng, Zi-Jiang Yang, Weihua Gui, Min Wu, Hideo...
133
Voted
MANSCI
2008
122views more  MANSCI 2008»
15 years 2 months ago
Incorporating Asymmetric Distributional Information in Robust Value-at-Risk Optimization
Value-at-Risk (VaR) is one of the most widely accepted risk measures in the financial and insurance industries, yet efficient optimization of VaR remains a very difficult problem....
Karthik Natarajan, Dessislava Pachamanova, Melvyn ...