A Review and Some New Proposals for Bandwidth Selection in Nonparametric Density Estimation for Dependent Data
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Publication:4609018
DOI10.1007/978-3-319-50986-0_10zbMath1383.62095OpenAlexW2765867646MaRDI QIDQ4609018
Publication date: 29 March 2018
Published in: From Statistics to Mathematical Finance (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-50986-0_10
Related Items (3)
Bootstrap confidence intervals for conditional density function in Markov processes ⋮ Smoothed bootstrap bandwidth selection for nonparametric hazard rate estimation ⋮ Comments on ``Data science, big data and statistics
Cites Work
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- Bootstrap methods for dependent data: a review
- Using the bootstrap to estimate mean squared error and select smoothing parameter in nonparametric problems
- Bootstrap choice of tuning parameters
- Data-driven bandwidth choice for density estimation based on dependent data
- An asymptotically efficient solution to the bandwidth problem of kernel density estimation
- Extent to which least-squares cross-validation minimises integrated square error in nonparametric density estimation
- Large sample optimality of least squares cross-validation in density estimation
- An asymptotically optimal window selection rule for kernel density estimates
- A comparison of cross-validation techniques in density estimation
- On the amount of noise inherent in bandwidth selection for a kernel density estimator
- A simple root \(n\) bandwidth selector
- Modified cross-validation in density estimation
- Exact mean integrated squared error
- Bootstrap methods: another look at the jackknife
- An overview of bootstrap methods for estimating and predicting in time series
- A comparative study of several smoothing methods in density estimation
- A study on bandwidth selection in density estimation under dependence
- Convergence rate for cross-validatory bandwidth in kernel hazard estimation from dependent samples
- Smoothed stationary bootstrap bandwidth selection for density estimation with dependent data
- The jackknife and the bootstrap for general stationary observations
- Consistent cross-validated density estimation
- A note on modified cross-validation in density estimation
- On bandwidth choice for density estimation with dependent data
- Bandwidth selection in nonparametric density estimation under dependence: a simulation study
- Bootstrapping the mean integrated squared error
- A Brief Survey of Bandwidth Selection for Density Estimation
- Remarks on Some Nonparametric Estimates of a Density Function
- Biased and Unbiased Cross-Validation in Density Estimation
- The bootstrap: To smooth or not to smooth?
- Bootstrap choice of the smoothing parameter in kernel density estimation
- The Stationary Bootstrap
- On Estimation of a Probability Density Function and Mode
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