Estimators in step regression models
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Publication:2348326
DOI10.1016/j.spl.2015.02.012zbMath1396.62079OpenAlexW2077162527MaRDI QIDQ2348326
Anton Schick, Wolfgang Wefelmeyer, Ursula U. Müller
Publication date: 11 June 2015
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2015.02.012
Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)
Cites Work
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- Estimating nonlinear regression with and without change-points by the LAD method
- Density estimation for linear processes
- Non-linear regression with discrete explanatory variables, with an application to the earnings function
- The M-estimation in a multi-phase random nonlinear model
- Asymptotic normality of some kernel-type estimators of probability density
- On asymptotic distribution theory in segmented regression problems - identified case
- The log likelihood ratio in segmented regression
- Kernel density estimation for linear processes: Asymptotic normality and optimal bandwidth derivation
- Asymptotics of maximum likelihood estimator in a two-phase linear regression model
- Nonparametric estimation of regression parameters from censored data with a discrete covariate
- Consistency of the posterior distribution and MLE for piecewise linear regression
- Estimating a density under pointwise constraints on the derivatives
- Uniform convergence of convolution estimators for the response density in nonparametric regression
- Asymptotics of M-estimators in two-phase linear regression models.
- Maximum likelihood estimator in a two-phase nonlinear random regression model
- Tests of the Hypothesis that a Linear Regression System Obeys Two Separate Regimes
- Maximum likelihood estimator in a multi-phase random regression model
- NONPARAMETRIC ESTIMATION OF REGRESSION FUNCTIONS WITH DISCRETE REGRESSORS
- Estimating and Testing Linear Models with Multiple Structural Changes
- Inference about the intersection in two-phase regression
- A Test for a Shifting Slope Coefficient in a Linear Model
- On Estimation of a Probability Density Function and Mode
- The Estimation of the Parameters of a Linear Regression System Obeying Two Separate Regimes
- Estimates for the Points of Intersection of Two Polynomial Regressions
- Kernel density estimation for linear processes
- Asymptotic normality of kernel density estimators under dependence
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