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» On Nonparametric Residual Variance Estimation
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NPL
2008
68views more  NPL 2008»
13 years 5 months ago
On Nonparametric Residual Variance Estimation
In this paper, the problem of residual variance estimation is examined. The problem is analyzed in a general setting which covers non-additive heteroscedastic noise under non-iid s...
Elia Liitiäinen, Francesco Corona, Amaury Len...
IWANN
2007
Springer
13 years 11 months ago
Non-parametric Residual Variance Estimation in Supervised Learning
The residual variance estimation problem is well-known in statistics and machine learning with many applications for example in the field of nonlinear modelling. In this paper, we...
Elia Liitiäinen, Amaury Lendasse, Francesco C...
CSDA
2006
97views more  CSDA 2006»
13 years 5 months ago
Bandwidth selection for a class of difference-based variance estimators in the nonparametric regression: A possible approach
A possible approach to bandwidth selection for difference-based variance estimators in the nonparametric regression is proposed. The approach is based on the crossvalidation-type ...
M. Levine
APPML
2008
58views more  APPML 2008»
13 years 5 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
TSP
2010
12 years 11 months ago
Welch method revisited: nonparametric power spectrum estimation via circular overlap
The objective of this paper is twofold. The first part provides further insight in the statistical properties of the Welch power spectrum estimator. A major drawback of the Welch m...
Kurt Barbé, Rik Pintelon, Johan Schoukens