Sentence examples for non-parametric regression from inspiring English sources

The choice of a kernel is equivalent to modeling covariance structure among individuals, and phenotypes are regressed on this kernel to obtain estimates of non-parametric regression coefficients.

Cumulative survival data was evaluated by Kaplan-Meier non-parametric regression analysis and the log-rank test.

Lecture 2 : Recap, no free lunch theorem, minimax formulations for PAC (realizable) setting, non-parametric regression (well specified case), statistical learning and online learning.

The current version uses generalized additive models (GAMs), a modern non-parametric regression technique the advantages of which are discussed.

Based on non-parametric regression, the functions in the additive models are estimated by a penalized least-squares approach using backfitting.

BMARS is a non-parametric regression technique that utilizes compactly supported tensor product B-splines as basis functions, which are automatically obtained from the observations.

Finally, we propose a model applying non-parametric regression to estimate future urban climate patterns using predicted land cover and land use change.

The data for the whole period were analysed using non-parametric regression and an additive model used to separate within-year and between-year effects.

The insight of interdependency of the variables gained in non-parametric regression and multivariate principal component analysis is employed to develop an effective neural network.

In the present study, the kernel estimator, which is a widely used non-parametric regression method, is employed as a simpler alternative to Fourier smoothing.

Non-parametric regression and multivariate principal component analysis are used to identify the dominant and the optimum number of independent variables.