Weighted nonlinear regression with nonstationary time series
From MaRDI portal
Publication:6593387
DOI10.5705/ss.202021.0426MaRDI QIDQ6593387
Publication date: 26 August 2024
Published in: STATISTICA SINICA (Search for Journal in Brave)
cointegrationnonstationaritymixture of normal distributionsweighted least squares estimationnonlinear cointegrating regression
Cites Work
- Unnamed Item
- Statistical Inference in Instrumental Variables Regression with I(1) Processes
- A uniform law for convergence to the local times of linear fractional stable motions
- Estimation in nonlinear regression with Harris recurrent Markov chains
- Partial parametric estimation for nonstationary nonlinear regressions
- Conditional least squares estimation in nonstationary nonlinear stochastic regression models
- Weak limit theorems for stochastic integrals and stochastic differential equations
- Additive nonparametric models with time variable and both stationary and nonstationary regressors
- Testing for episodic predictability in stock returns
- Estimation for double-nonlinear cointegration
- Nonlinear regressions with nonstationary time series
- Predictive regression under various degrees of persistence and robust long-horizon regression
- Asymptotic theory of least squares estimators for nearly unstable processes under strong dependence
- Nonlinear least-squares estimation
- Nonlinear econometric models with cointegrated and deterministically trending regressors
- NONPARAMETRIC COINTEGRATING REGRESSION WITH ENDOGENEITY AND LONG MEMORY
- ASYMPTOTIC THEORY FOR LOCAL TIME DENSITY ESTIMATION AND NONPARAMETRIC COINTEGRATING REGRESSION
- MARTINGALE LIMIT THEOREM REVISITED AND NONLINEAR COINTEGRATING REGRESSION
- Structural Nonparametric Cointegrating Regression
- Optimal Inference in Regression Models with Nearly Integrated Regressors
- Limit Theorems for Nonlinear Cointegrating Regression
- Nonlinear Regressions with Integrated Time Series
- Nearly Optimal Tests When a Nuisance Parameter Is Present Under the Null Hypothesis
- Fully Modified Least Squares and Vector Autoregression
- NONLINEAR COINTEGRATING POWER FUNCTION REGRESSION WITH ENDOGENEITY
- LEAST SQUARES ESTIMATION FOR NONLINEAR REGRESSION MODELS WITH HETEROSCEDASTICITY
- ASYMPTOTIC THEORY FOR KERNEL ESTIMATORS UNDER MODERATE DEVIATIONS FROM A UNIT ROOT, WITH AN APPLICATION TO THE ASYMPTOTIC SIZE OF NONPARAMETRIC TESTS
- Testing the Predictability of U.S. Housing Price Index Returns Based on an IVX-AR Model
- Modelling Nonlinear Economic Time Series
- Adaptive Local Polynomial Whittle Estimation of Long-range Dependence
- LATENT VARIABLE NONPARAMETRIC COINTEGRATING REGRESSION
- Estimation for single-index and partially linear single-index integrated models
This page was built for publication: Weighted nonlinear regression with nonstationary time series