Pages that link to "Item:Q1194537"

The following pages link to Change-points in nonparametric regression analysis (Q1194537):

Displaying 50 items.

• Estimating change points in nonparametric time series regression models (Q2208375) (← links)
• Change point detection for nonparametric regression under strongly mixing process (Q2208376) (← links)
• Asymptotic confidence sets for the jump curve in bivariate regression problems (Q2274946) (← links)
• Change-point problems: bibliography and review (Q2324132) (← links)
• Detecting gradual changes in locally stationary processes (Q2343960) (← links)
• Smooth change point estimation in regression models with random design (Q2351700) (← links)
• Adaptive quantile regression with precise risk bounds (Q2361010) (← links)
• Wavelet estimation of a regression function with a sharp change point in a random design (Q2369522) (← links)
• Change-point estimation under adaptive sampling (Q2388980) (← links)
• Detection of slightly expressed changes in random environment (Q2437989) (← links)
• Change point estimation by local linear smoothing under a weak dependence condition (Q2440595) (← links)
• Local linear kernel estimation of the discontinuous regression function (Q2463665) (← links)
• Optimal change-point estimation from indirect observations (Q2493556) (← links)
• Propagation-separation approach for local likelihood estimation (Q2494404) (← links)
• Asymptotic fluctuations of mutagrams (Q2494875) (← links)
• Kernel smoothers: an overview of curve estimators for the first graduate course in nonparametric statistics (Q2503959) (← links)
• Kink estimation with correlated noise (Q2510642) (← 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)
• Semiparametric estimation for stationary processes whose spectra have an unknown pole (Q2583421) (← links)
• State-domain change point detection for nonlinear time series regression (Q2697972) (← links)
• A statistical test of change-point in mean that almost surely has zero error probabilities (Q2803540) (← links)
• Non parametric derivative estimation with confidence bands (Q2807680) (← links)
• Estimation of a change point in the variance function based on the <font>χ²</font>-distribution (Q2817126) (← links)
• Rate of Convergence of a Change Point Estimator in a Misspecified Regression Model (Q2833357) (← links)
• Structural Adaptive Smoothing Procedures (Q2847945) (← links)
• Inference for single and multiple change-points in time series (Q2864620) (← links)
• Testing for parameter stability in nonlinear autoregressive models (Q2931587) (← links)
• A jump-detecting procedure based on spline estimation (Q3021176) (← links)
• A change-point estimator using local Fourier series (Q3021177) (← links)
• Nonparametric multivariate breakpoint detection for the means, variances, and covariances of a discrete time stochastic process (Q3145403) (← links)
• Data-Driven Discontinuity Detection in Derivatives of a Regression Function (Q3155298) (← links)
• (Q3224025) (← links)
• Nonparametric estimation in change point hazard rate models for censored data: A counting process approach (Q3432374) (← links)
• TESTING FOR STRUCTURAL CHANGE IN TIME-VARYING NONPARAMETRIC REGRESSION MODELS (Q3450348) (← links)
• Asymmetric cusp estimation in regression models (Q3462156) (← links)
• (Q3539600) (← links)
• Change‐Point Tests for the Error Distribution in Non‐parametric Regression (Q3552970) (← links)
• Singularity estimation via structural intensity: applications and modifications (Q3603647) (← links)
• Tracking Edges, Corners and Vertices in an Image (Q3608248) (← links)
• Trend, Growth Rate, and Change Point Analysis—A Data Driven Approach (Q3625271) (← links)
• KERNEL ESTIMATION WHEN DENSITY MAY NOT EXIST (Q3632397) (← links)
• Change points in nonparametric regresion functions (Q4269508) (← links)
• Nonparametric boundary detection (Q4270007) (← links)
• Asymptotic bias and variance of a kernel-based estimator for the location of a discontinuity (Q4352133) (← links)
• A NEW VERSION OF THE LOCAL CONSTANT M-SMOOTHER (Q4449030) (← links)
• A BAYESIAN ANALYSIS FOR DERIVATIVE CHANGE POINTS (Q4449066) (← links)
• A jump-preserving curve fitting procedure based on local piecewise-linear kernel estimation (Q4470123) (← links)
• Automatic bandwidth selection for modified m-smoother^∗ (Q4519160) (← links)