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» Boosting Methods for Regression
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CSDA
2008
56views more  CSDA 2008»
15 years 3 months ago
Robust designs for series estimation
We discuss optimal design problems for a popular method of series estimation in regression problems. Commonly used design criteria are based on the generalized variance of the est...
Holger Dette, Douglas P. Wiens
CSDA
2008
65views more  CSDA 2008»
15 years 3 months ago
Improving updating rules in multiplicative algorithms for computing D-optimal designs
In this paper we discuss a class of multiplicative algorithms for computing D-optimal designs for regression models on a finite design space. We prove a monotonicity result for a ...
Holger Dette, Andrey Pepelyshev, Anatoly A. Zhiglj...
TSP
2008
102views more  TSP 2008»
15 years 3 months ago
A Minimax Chebyshev Estimator for Bounded Error Estimation
We develop a nonlinear minimax estimator for the classical linear regression model assuming that the true parameter vector lies in an intersection of ellipsoids. We seek an estimat...
Yonina C. Eldar, Amir Beck, Marc Teboulle
CSL
1998
Springer
15 years 3 months ago
Model parameter estimation for mixture density polynomial segment models
In this paper, we propose parameter estimation techniques for mixture density polynomial segment models (MDPSMs) where their trajectories are specified with an arbitrary regressi...
Toshiaki Fukada, Kuldip K. Paliwal, Yoshinori Sagi...
136
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JAMDS
2002
107views more  JAMDS 2002»
15 years 3 months ago
Estimating a resource selection function with line transect sampling
Abstract. A resource selection probability function is a function that gives the probability that a resource unit (e.g., a plot of land) that is described by a set of habitat varia...
Bryan F. J. Manly