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APPML
2008
58views more  APPML 2008»
15 years 4 months ago
Precise asymptotics for the first moment of the error variance estimator in linear models
Let 2 be the unknown error variance of a linear model and let ^2 be the estimator of 2 based on the residual sum of squares. In this work, we show the precise asymptotics in the l...
Ke-Ang Fu, Wei-Dong Liu, Li-Xin Zhang
AUTOMATICA
2008
92views more  AUTOMATICA 2008»
15 years 4 months ago
Box particle filtering for nonlinear state estimation using interval analysis
In recent years particle ...lters have been applied to a variety of state estimation problems. A particle ...lter is a sequential Monte Carlo Bayesian estimator of the posterior d...
Fahed Abdallah, Amadou Gning, Philippe Bonnifait
BMCBI
2007
107views more  BMCBI 2007»
15 years 4 months ago
A general and efficient method for estimating continuous IBD functions for use in genome scans for QTL
Background: Identity by descent (IBD) matrix estimation is a central component in mapping of Quantitative Trait Loci (QTL) using variance component models. A large number of algor...
Francois Besnier, Örjan Carlborg
AUTOMATICA
2006
68views more  AUTOMATICA 2006»
15 years 4 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
INFORMATICALT
2006
65views more  INFORMATICALT 2006»
15 years 4 months ago
Iterative Estimation Algorithm of Autoregressive Parameters
This paper presents an iterative autoregressive system parameter estimation algorithm in the presence of white observation noise. The algorithm is based on the parameter estimation...
Kazys Kazlauskas, Jaunius Kazlauskas