Calibrating the Degrees of Freedom for Automatic Data Smoothing and Effective Curve Checking
From MaRDI portal
Publication:4468472
DOI10.1198/016214503000000521zbMath1040.62027OpenAlexW2110144509MaRDI QIDQ4468472
Publication date: 10 June 2004
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1198/016214503000000521
local polynomial regressioncross-validationbandwidth selectiongoodness of fitvarying coefficient model
Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)
Related Items (20)
An adaptive lack of fit test for big data ⋮ Nonparametric independence screening via favored smoothing bandwidth ⋮ Generalized varying coefficient partially linear measurement errors models ⋮ An updated review of goodness-of-fit tests for regression models ⋮ Prediction Error Estimation Under Bregman Divergence for Non‐Parametric Regression and Classification ⋮ Investigation of the dependence structure in seismic hazard analysis: an application for Turkey ⋮ Calculating degrees of freedom in multivariate local polynomial regression ⋮ Varying Coefficients Model with Measurement Error ⋮ Semiparametric detection of significant activation for brain fMRI ⋮ Adaptive Nonparametric Comparison of Regression Curves ⋮ Analysis of variance, coefficient of determination and \(F\)-test for local polynomial regression ⋮ Nonparametric inference with generalized likelihood ratio tests (With comments and rejoinder) ⋮ Determining the number of effective parameters in kernel density estimation ⋮ Smoothing a Time Series by Segments of the Data Range ⋮ Comments on: ``An updated review of goodness-of-fit tests for regression models ⋮ A Semiparametric Approach to Canonical Analysis ⋮ A new information criterion-based bandwidth selection method for non-parametric regressions ⋮ Efficient modeling and inference for event-related fMRI data ⋮ Inference on varying-coefficient partially linear regression model ⋮ Robust comparison of regression curves
Uses Software
This page was built for publication: Calibrating the Degrees of Freedom for Automatic Data Smoothing and Effective Curve Checking
