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CSDA
2007
92views more  CSDA 2007»
13 years 5 months ago
On the estimation of the linear relation when the error variances are known
The problem of consistent estimation in measurement error models in a linear relation with not necessarily normally distributed measurement errors is considered. Three possible es...
H. Schneeweiss, H. Shalabh
CCE
2004
13 years 5 months ago
Improving convergence of the stochastic decomposition algorithm by using an efficient sampling technique
This work focuses on the basic stochastic decomposition (SD) algorithm of Higle and Sen [J.L. Higle, S. Sen, Stochastic Decomposition, Kluwer Academic Publishers, 1996] for two-st...
José María Ponce-Ortega, Vicente Ric...
CVPR
2007
IEEE
14 years 7 months ago
Generative Graphical Models for Maneuvering Object Tracking and Dynamics Analysis
We study the challenging problem of maneuvering object tracking with unknown dynamics, i.e., forces or torque. We investigate the underlying causes of object kinematics, and propo...
Xin Fan, Guoliang Fan
HICSS
1997
IEEE
131views Biometrics» more  HICSS 1997»
13 years 10 months ago
Conditional Market Segmentation by Neural Networks
An arti"cial neural network (ANN) algorithm is proposed that incorporates both market segmentation and discriminant (regression) analysis of the segments. The method simultan...
Martin Natter
EOR
2010
125views more  EOR 2010»
13 years 5 months ago
Efficient estimation of large portfolio loss probabilities in t-copula models
We consider the problem of accurately measuring the credit risk of a portfolio consisting of loans, bonds and other financial assets. One particular performance measure of interes...
Joshua C. C. Chan, Dirk P. Kroese