Pages that link to "Item:Q688404"
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The following pages link to Nonparametric function estimation for time series by local average estimators (Q688404):
Displaying 24 items.
- Efficient prediction for linear and nonlinear autoregressive models (Q869982) (← links)
- Nonparametric function estimation involving time series (Q1192959) (← links)
- Functional estimation for time series: Uniform convergence properties (Q1299530) (← links)
- Nonparametric time series regression (Q1336524) (← links)
- Kernel density estimation under weak dependence with sampled data (Q1360977) (← links)
- Local polynomial fitting under association (Q1403421) (← links)
- Dependence and the dimensionality reduction principle (Q1768126) (← links)
- Nonparametric methods of inference for finite-state, inhomogeneous Markov processes (Q1769789) (← links)
- Minimum distance regression-type estimates with rates under weak dependence (Q1817395) (← links)
- Nonparametric regression for locally stationary functional time series (Q2161186) (← links)
- A general result on the mean integrated squared error of the hard thresholding wavelet estimator under \(\alpha\)-mixing dependence (Q2260580) (← links)
- Prediction in moving average processes (Q2475751) (← links)
- Nonparametric regression estimation for dependent functional data: asymptotic normality (Q2485822) (← links)
- Consistent estimation of a general nonparametric regression function in time series (Q2628866) (← links)
- On asymptotic behavior of Nadaraya–Watson regression estimator (Q2830788) (← links)
- Consistency of modified kernel regression estimation for functional data (Q2892890) (← links)
- \(k\)-nearest neighbor estimation of inverse-density-weighted expectations with dependent data (Q2909248) (← links)
- On uniform consistent estimators for convex regression (Q3106431) (← links)
- Fixed design regression for negatively associated random fields (Q3619663) (← links)
- Robust kernel estimators for additive models with dependent observations (Q4223824) (← links)
- Wavelet-Based estimation of multivariate regression functions in besov spaces<sup>*</sup> (Q4485018) (← links)
- Asymptotic distribution of data‐driven smoothers in density and regression estimation under dependence (Q4891289) (← links)
- Fixed-design regression for linear time series (Q5916402) (← links)
- Adaptive deep learning for nonlinear time series models (Q6632604) (← links)
