Results 21 to 30 of about 1,213,973 (118)

Bias-Variance Tradeoffs in Functional Estimation Problems

open access: yesThe Annals of Statistics, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Lower bounds for variances of Poisson functionals

open access: yesElectronic Journal of Probability
Lower bounds for variances are often needed to derive central limit theorems. In this paper, we establish a lower bound for the variance of Poisson functionals that uses the difference operator of Malliavin calculus. Poisson functionals, i.e. random variables that depend on a Poisson process, are frequently studied in stochastic geometry.
Schulte, Matthias, Trapp, Vanessa
openaire   +2 more sources

Functional analysis of variance for parametric functional data

open access: yes, 2014
A parametric functional analysis of variance (FANOVA) is proposed to measure the functional varia- bility explained by other variables. This technique presents the advantage of using all the information in the curves, instead of some specific values on them.
FORTUNA, FRANCESCA, MATURO, FABRIZIO
openaire   +4 more sources

Optimal designs for variance function estimation using sample variances

open access: yes, 1999
Using sample variances for estimating a variance function is intuitively more appealing than using residuals. Main advantage of sample variances over residuals is that they are robust to misspecification of the mean function. However, due to the replication requirement neither standard response surface designs nor small designs generated by design ...
Goos, Peter   +2 more
openaire   +1 more source

Variance Function Partially Linear Single-Index Models1. [PDF]

open access: yesJ R Stat Soc Series B Stat Methodol, 2015
Lian H, Liang H, Carroll RJ.
europepmc   +1 more source

Nonparametric Estimation of Variance Function for Functional Data

open access: yes, 2008
This article investigates nonparametric estimation of variance functions for functional data when the mean function is unknown. We obtain asymptotic results for the kernel estimator based on squared residuals. Similar to the finite dimensional case, our asymptotic result shows the smoothness of the unknown mean function has an effect on the rate of ...
openaire   +2 more sources

Reducing weighted ensemble variance with optimal trajectory management. [PDF]

open access: yesJ Chem Phys
Ryu WH   +9 more
europepmc   +1 more source

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