Pages that link to "Item:Q5953823"
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The following pages link to On bootstrapping the mode in the nonparametric regression model with random design (Q5953823):
Displaying 11 items.
- On the asymptotic normality of kernel regression estimators of the mode in the nonparametric random design model. (Q1395876) (← links)
- Bootstrapping the mode (Q1825565) (← links)
- Bootstrapping a nonparametric polytomous regression model (Q1900841) (← links)
- Asymptotics for function derivatives estimators based on stationary and ergodic discrete time processes (Q2086282) (← links)
- Some asymptotic properties of kernel regression estimators of the mode for stationary and ergodic continuous time processes (Q2231589) (← links)
- Inference for the mode of a log-concave density (Q2328065) (← links)
- Confidence sets for the maximizers of intensity functions (Q2386159) (← links)
- On nonparametric kernel estimation of the mode of the regression function in the random design model (Q4806547) (← links)
- Some results about kernel estimators for function derivatives based on stationary and ergodic continuous time processes with applications (Q5079799) (← links)
- Asymptotic normality of the regression mode in the nonparametric random design model for censored data (Q6096175) (← links)
- Bootstrap inference in functional linear regression models with scalar response under heteroscedasticity (Q6635567) (← links)