Pages that link to "Item:Q1354400"

The following pages link to Change point estimation using nonparametric regression (Q1354400):

Displaying 50 items.

• Consistent selection of the number of change-points via sample-splitting (Q99318) (← links)
• Testing for jumps in the presence of smooth changes in trends of nonstationary time series (Q262694) (← links)
• Nonparametric estimation of structural change points in volatility models for time series (Q262749) (← links)
• Asymptotics for \(p\)-value based threshold estimation under repeated measurements (Q274035) (← links)
• Testing for change points in partially linear models (Q277056) (← links)
• Nonparametric simultaneous testing for structural breaks (Q291109) (← links)
• Asymptotics for \(p\)-value based threshold estimation in regression settings (Q372134) (← links)
• Change-point problems in nonlinear regression estimation with dependent observations (Q425785) (← links)
• Nonparametric estimation of the regression function having a change point in generalized linear models (Q434733) (← links)
• Regression discontinuity designs with unknown discontinuity points: testing and estimation (Q496153) (← links)
• Wavelet analysis of change-points in a non-parametric regression with heteroscedastic variance (Q736698) (← links)
• Glacier terminus estimation from Landsat image intensity profiles (Q893361) (← links)
• A change-point problem in relative error-based regression (Q905109) (← links)
• Change point estimators by local polynomial fits under a dependence assumption (Q957317) (← links)
• Semi-parametric dynamic time series modelling with applications to detecting neural dynamics (Q965143) (← links)
• Detection of a change point based on local-likelihood (Q972895) (← links)
• Activity pattern detection in electroneurographic and electromyogram signals through a heteroscedastic change-point method (Q975968) (← links)
• Blind deconvolution for jump-preserving curve estimation (Q980582) (← links)
• On rapid change points under long memory (Q989259) (← links)
• Consistencies and rates of convergence of jump-penalized least squares estimators (Q1002154) (← links)
• Mean estimation in the presence of change points (Q1033082) (← links)
• Change-points in nonparametric regression analysis (Q1194537) (← links)
• Discontinuous regression surfaces fitting (Q1307095) (← links)
• Two-stage change-point estimators in smooth regression models (Q1365167) (← links)
• Sequential methods for design-adaptive estimation of discontinuities in regression curves and surfaces (Q1412370) (← links)
• Estimation of regression functions with a discontinuity in a derivative with local polynomial fits (Q1613008) (← links)
• A heuristic, iterative algorithm for change-point detection in abrupt change models (Q1643024) (← links)
• Information criterion for Gaussian change-point model (Q1779681) (← links)
• Discontinuous versus smooth regression (Q1807167) (← links)
• Asymptotics of maximum likelihood estimator in a two-phase linear regression model (Q1866223) (← links)
• Change point estimation by local linear smoothing (Q1867136) (← links)
• A comparison of estimators for regression models with change points (Q1927289) (← links)
• Kernel estimation of discontinuous regression functions (Q1976510) (← links)
• Are deviations in a gradually varying mean relevant? A testing approach based on sup-norm estimators (Q2073724) (← links)
• On robust learning in the canonical change point problem under heavy tailed errors in finite and growing dimensions (Q2136638) (← links)
• Estimating change points in nonparametric time series regression models (Q2208375) (← links)
• Asymptotic confidence sets for the jump curve in bivariate regression problems (Q2274946) (← links)
• Change-point problems: bibliography and review (Q2324132) (← links)
• Change-point estimation under adaptive sampling (Q2388980) (← links)
• Change-point estimation using shape-restricted regression splines (Q2407076) (← links)
• Change point estimation by local linear smoothing under a weak dependence condition (Q2440595) (← links)
• A computational method for the detection of activation/deactivation patterns in biological signals with three levels of electric intensity (Q2452787) (← links)
• Local linear kernel estimation of the discontinuous regression function (Q2463665) (← links)
• Kernel smoothers: an overview of curve estimators for the first graduate course in nonparametric statistics (Q2503959) (← links)
• Nonlinear regression modeling and detecting change points via the relevance vector machine (Q2513366) (← links)
• Estimation of a regression function with a sharp change point using boundary wavelets (Q2567199) (← links)
• Asymptotics of M-estimators in two-phase linear regression models. (Q2574536) (← links)
• Asymptotics and confidence estimation in segmented regression models (Q2793202) (← links)
• Estimation of a change point in the variance function based on the <font>χ²</font>-distribution (Q2817126) (← links)
• Inference for single and multiple change-points in time series (Q2864620) (← links)