Results 31 to 40 of about 67,030 (311)
Optimal designs for testing the functional form of a regression via nonparametric estimation techniques [PDF]
, 2000 For the problem of checking linearity in a heteroscedastic nonparametric regression model under a fixed design assumption we study maximin designs which maximize the minimum power of a nonparametric test over a broad class of alternatives from the ...
Stefanie Biedermann +3 more
core +1 more source
The Annals of Mathematical Statistics, 1951 In the three papers, [1], [2], [3], entitled "Nonparametric estimation", Scheffe and Tukey generalized previous results on tolerance regions and extended them to cover all continuous and discontinuous distribution functions. This note contains four comments arising from these papers: first, on a method for giving bounds to the confidence level in the ...
Fraser, D. A. S., Wormleighton, R.
openaire +2 more sources
Adaptive Estimation of Nonparametric Functionals
J. Mach. Learn. Res., 2016 We provide general adaptive upper bounds for estimating nonparametric functionals based on second order U-statistics arising from finite dimensional approximation of the infinite dimensional models. We then provide examples of functionals for which the theory produces rate optimally matching adaptive upper and lower bounds.
Lin Liu +3 more
openaire +4 more sources
Adaptive Reduction of Curse of Dimensionality in Nonparametric Instrumental Variable Estimation
MathematicsNonparametric estimation of instrumental variable treatment effects typically builds on various nonparametric identification results. However, these estimators often face challenges from the curse of dimensionality in practice, as multi-dimensional ...
Ming-Yueh Huang, Kwun Chuen Gary Chan
doaj +1 more source
Entropy, 2008 At the heart of many ICA techniques is a nonparametric estimate of an information measure, usually via nonparametric density estimation, for example, kernel density estimation.
Julian Sorensen
doaj +1 more source
Nonparametric Range-Based Double Smoothing Spot Volatility Estimation for Diffusion Models
Complexity, 2020 We consider nonparametric spot volatility estimation for diffusion models with discrete high frequency observations. Our estimator is carried out in two steps.
Jingwei Cai
doaj +1 more source
Bias Adjustment for a Nonparametric Entropy Estimator
Entropy, 2013 Zhang in 2012 introduced a nonparametric estimator of Shannon’s entropy, whose bias decays exponentially fast when the alphabet is finite. We propose a methodology to estimate the bias of this estimator.
Zhiyi Zhang, Michael Grabchak
doaj +1 more source
Energy Reports, 2022 In today’s increasingly serious world energy crisis, Renewable energy such as wind energy has gradually penetrated into life. Aiming at the uncertainty of wind power and the need of a mass of sample data in nonparametric kernel density estimation, a wind
Kai Zhang +6 more
doaj +1 more source
Nonparametric Regression Estimation for Circular Data
Proceedings, 2019 Non-parametric regression with a circular response variable and a unidimensional linear regressor is a topic which was discussed in the literature.
Andrea Meilán-Vila +3 more
doaj +1 more source
Molecular Oncology, EarlyView.Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen +11 more
wiley +1 more source