Sciweavers

Share
SMA
2008
ACM
162views Solid Modeling» more  SMA 2008»
9 years 11 months ago
Fast and robust bootstrap
The Least Trimmed Squares (LTS) estimator is a frequently used robust estimator of regression. When it comes to inference for the parameters of the regression model, the asymptoti...
Matias Salibian-Barrera, Stefan Van Aelst, Gert Wi...
SCL
2008
68views more  SCL 2008»
9 years 11 months ago
Nonuniform in time state estimation of dynamic systems
In this paper it is shown that, if a time-varying uncertain system is robustly completely detectable, then there exists an estimator for this system, i.e. the state vector of the ...
Iasson Karafyllis, Costas Kravaris
CSDA
2007
98views more  CSDA 2007»
9 years 11 months ago
A new Bayes estimate of the change point in the hazard function
An efficient estimate for the change point in the hazard function is obtained. This is based on a Bayesian estimator which uses equations concerning the parameters of a recently ...
Durdu Sertkaya Karasoy, Cem Kadilar
CORR
2007
Springer
97views Education» more  CORR 2007»
9 years 11 months ago
Estimation of the Rate-Distortion Function
—Motivated by questions in lossy data compression and by theoretical considerations, the problem of estimating the rate-distortion function of an unknown (not necessarily discret...
Matthew T. Harrison, Ioannis Kontoyiannis
CSDA
2006
84views more  CSDA 2006»
9 years 11 months ago
Robust weighted LAD regression
The least squares linear regression estimator is well-known to be highly sensitive to unusual observations in the data, and as a result many more robust estimators have been propo...
Avi Giloni, Jeffrey S. Simonoff, Bhaskar Sengupta
COMCOM
2006
68views more  COMCOM 2006»
9 years 11 months ago
Estimating the source-destination traffic matrix of a VPN from access-link loads
We address the problem of estimating the source-destination (SD) traffic matrix of a VPN from measurements of aggregated traffic along all access links. We derive two different es...
Shigeo Shioda, Kazuya Ohtani
AUTOMATICA
2006
68views more  AUTOMATICA 2006»
9 years 11 months ago
State and unknown input estimation for linear discrete-time systems
: This paper deals with a new type of estimator for discrete-time linear systems with unknown inputs. A constructive algorithm is given in order to analyze the state observability ...
Thierry Floquet, Jean-Pierre Barbot
CSDA
2010
157views more  CSDA 2010»
9 years 11 months ago
Robust estimation of constrained covariance matrices for confirmatory factor analysis
Confirmatory factor analysis (CFA) is a data anylsis procedure that is widely used in social and behavioral sciences in general and other applied sciences that deal with large qua...
E. Dupuis Lozeron, M. P. Victoria-Feser
CORR
2008
Springer
85views Education» more  CORR 2008»
9 years 11 months ago
Computationally Efficient Estimators for Dimension Reductions Using Stable Random Projections
The method of stable random projections is an efficient tool for computing the l distances using low memory, where 0 < 2 may be viewed as a tuning parameter. This method boil...
Ping Li
ICASSP
2010
IEEE
9 years 11 months ago
A non-iterative estimator for the concentration parameter of the relative phase distribution
In this paper, we propose an approximation of the relative phase probability function (RP pdf) and use it to find a non-iterative estimator for the concentration parameter of the...
Yothin Rakvongthai, Soontorn Oraintara
books